355 Dialogflow Jobs - Page 3

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: GCP Dialogflow Experience: 5-8 Years

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Delivery Manager Principal responsibilities Project Managers are required to lead change initiatives, and manage stakeholder and senior management relationships. They work largely unsupervised and are expected to exercise independent initiative and judgement in proactively overcoming obstacles to success, dealing with uncertainty and changing circumstances, such as interdependencies, opportunities or risks. They are expected to adopt an agile and flexible approach to their work and an outstanding level of professionalism and conduct. Plans effectively around delivery constraints and optimizes the plan to maximize benefits and minimize risk. Ensures the baselined scope, requirements, benefits, schedule and budget are managed as outlined in the change frameworks Proactively monitors project execution to effectively identify risks/issues/dependencies as they arise throughout the project lifecycle. Collaborates and builds positive stakeholder relationships, providing regular updates, obtains buy-in from the project sponsor, Steering Committee and other stakeholders for all key project plans, commitments, and changes including requirements. Analyses management reports, and derives insights to drive the right business decisions Manages Change Adoption to ensure the change lands well and sticks, contributing to benefits realization. Produce well-defined project plans, identifying the key milestones and assigning responsibilities / resources in line with the Global Transformation Project Management Framework. Provides timely reports on project status, risks and issues, evaluating project performance based on management information using standardised metrics and templates in Clarity Maintains project change control, ensuring any changes to baseline are managed through change requests and all impacts are considered Promotes and takes accountability for project quality; identifies opportunities to improve delivery and oversees the governance process to reduce risk and ensure effective and timely decisions are taken Requirements Previous experience in managing large scale business transformation projects, and other managerial experience leading diverse, geographically distributed teams. Strong understanding and subject matter expertise in driving Contact Center Automation projects involving Contact Centre As A Service (CCaaS) and Cloud Platform migration and Artificial Intelligence/ Gen Artificial Intelligence driven Automation Strong understanding and subject matter expertise contact center domains like, Interactive Voice Response call flows, Identiity and Verification (ID&V) Work force management, Knowledge Management, Contact Center Analytics and Market Intelligence. Expert in tools such as JIRA, Confluence & MS Project Good understanding of Digital Journeys (e.g. Mobile Banking App) Expert in change methodologies including but not limited to customer experience, digital transformation, Design-led change, including significant experience in Agile roles. Excellent stakeholder management and assertive communication skills Past experience / Ability to drive technology changes involving Genesys Cloud, AWS Connect (Amazon web services), Google CCAI (Contact center Artificial Intelligence), Nice CX (Customer Expereince) Verint, Five9, Calabrio, Knowmax, Salesforce, ezo.ai, Uniphore, Convin, Dynamics 365, Qualtrics, Nuance Gatekeeper, Google Dialogflow, Google Transcriber, Poly AI, Cogito, AWS Lex (Amazon web service). Understanding of key activities for Change Adoption. Interactive Voice Response (IVR) Simplification. ID &V - CLI/ANI (Command Line interface/ Automatic number identification), One Time Password - OTP , Voice ID Data - Migration, storage and management (real time and historical). Contact Centre Reporting and Business Intelligence. Relevant experience on managing complex projects across countries or regions. Overall experience of 8+ years or more. Project management skills and experience of managing large and complex programmes You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Description We are seeking an AI Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in artificial intelligence, with a proven track record of developing scalable AI solutions. Roles & Responsibilities for AI Developer Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Integrate third-party AI APIs (e.g., OpenAI, Dialogflow, Azure AI, Google Cloud AI) into web or software applications. Develop intelligent workflows, chatbots, and automation systems based on predefined logic. Build and test AI chat interfaces or recommendation flows using no-code/low-code AI platforms where needed. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to create high-quality datasets. Stay up-to-date with the latest trends and developments in the field of AI/ML. Mentor and guide developers, providing technical expertise and fostering a culture of continuous learning and improvement. Skills for AI Developer Bachelor’s in Computer Science, IT, or related field. 1–2 years of experience in web/software development with AI integration and Strong programming skills in Python. Basic understanding of NLP and AI automation tools. Excellent problem-solving and analytical skills. Working knowledge of JavaScript, Python, React.JS or Node.js (preferred). Ability to work independently and as part of a team. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD. Experience working in Agile development methodologies is a plus.

Job discription: Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions

Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. Experience in computational linguistics or engineering. Experience working with customers, executives, and technical leads. Experience in building chatbots or voicebots. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications. Experience building cloud-based conversational AI solutions. Experience with natural language processing and related concepts. Excellent leadership and collaboration skills in the field of AI or Machine Learning. Excellent communication, presentation and problem solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision makers throughout the engagement. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to complex customer requirements and implementation best practices. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About the role: The Sr Cognitive Developer/Engineer will develop a conversation service that combines machine learning, natural language understanding, and integrated dialog scripting tools to provide outstanding customer engagements across multiple channels. This includes but is not limited to monitoring interactions in the application to identify underperforming content and developing solutions that will improve and enhance the performance of the voice and messaging interactions. The Sr Cognitive Developer/Engineer will develop reporting that will be utilized to drive solutions that align with company goals and initiatives. What makes you a dream candidate? Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions Experience: Bachelors Degree in Computer Science or equivalent area of study required 0-2 years IBM Watson or similar technology experience required 2-4 years software engineer with focus in NLP/NLU Software experience required

📌 Job Title: WhatsApp Chatbot Developer (PHP/Python) 🏢 Location: Onsite – Noida 💼 Employment Type: Full-time 💰 Experience: 2–5 years 📅 Start Date: Immediate ⸻ 🧠 About the Role We are seeking skilled PHP and/or Python developers to build, maintain, and scale WhatsApp chatbot solutions for customer engagement, automation, and support workflows. You will work with the WhatsApp Business API (or platforms like Twilio/360Dialog), integrate backend services, and contribute to a scalable and secure messaging architecture. ⸻ 🛠️ Key Responsibilities • Design and develop WhatsApp chatbots using PHP or Python • Integrate with WhatsApp Business API, Twilio, or 360Dialog • Build backend services for conversation flows, user sessions, and message queues • Implement webhooks to handle incoming messages, delivery reports, and events • Develop dynamic response logic using NLP tools (Dialogflow, Rasa, LLMs etc.) • Work with databases (MySQL, MongoDB, Firebase) for session and user data management • Implement error handling, logging, and monitoring for real-time messaging flows • Write clean, secure, modular, and scalable code ⸻ 🧾 Required Skills • Strong proficiency in PHP and/or Python • Experience with REST APIs and webhook development • Familiarity with WhatsApp Business API, Twilio API, or 360Dialog platform • Solid understanding of asynchronous messaging, queues, and webhooks • Database experience (MySQL, PostgreSQL, MongoDB, or Firebase) • Working knowledge of JSON, JWT, and basic auth mechanisms • Git version control ⸻ 🌟 Preferred Qualifications • Experience with NLP tools like Dialogflow, Rasa, or GPT-based APIs • Prior chatbot or customer service bot projects (Telegram, Facebook Messenger, etc.) • Deployment and DevOps experience (Docker, NGINX, etc.) • Familiarity with cloud platforms (AWS, GCP, Firebase) • Knowledge of frontend tools for basic chatbot dashboards (HTML/JS/React optional) To Apply Feel free to message me directly for the profile review. Send your Updated resume to: Ramandeep@fundle.ai/ 8448396009

Job Description We are seeking an AI Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in artificial intelligence, with a proven track record of developing scalable AI solutions. Roles & Responsibilities for AI Developer Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Integrate third-party AI APIs (e.g., OpenAI, Dialogflow, Azure AI, Google Cloud AI) into web or software applications. Develop intelligent workflows, chatbots, and automation systems based on predefined logic. Build and test AI chat interfaces or recommendation flows using no-code/low-code AI platforms where needed. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to create high-quality datasets. Stay up-to-date with the latest trends and developments in the field of AI/ML. Mentor and guide developers, providing technical expertise and fostering a culture of continuous learning and improvement. Skills for AI Developer Bachelor’s in Computer Science, IT, or related field. 1–2 years of experience in web/software development with AI integration and Strong programming skills in Python. Basic understanding of NLP and AI automation tools. Excellent problem-solving and analytical skills. Working knowledge of JavaScript, Python, React.JS or Node.js (preferred). Ability to work independently and as part of a team. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD. Experience working in Agile development methodologies is a plus.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: I. Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. II. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. III. Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya IV. Integrate with IVR systems and Proficiency in webhook setup and API integration. V. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. VI. Creation of agents in Agent builder and integrating them into end end to pipeline using python. VII. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. VIII. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities IX. Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. X. Document technical designs, processes, and setup for various integrations. XI. Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: 1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. 2 The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions., 15 years full time education

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 5+ years of experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Software Development

Job Description: You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and CCAI Platform (Ujet.cx) Drive design thinking innovative workshops with the clients using design principles and reshape their thinking about customer experience especially in the contact center / customer care domain Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with internal team and client team on CCaaS (Contact Center as a Service) migration Deliver agile delivery process, continuous improvement and continuous development Work with other teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Bring your best skills forward to excel at the role: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of CCAI Framework and integration with internal and external components.

Job Title: Conversational Designer Location: Hyderabad Job Type: Full-Time Experience Level: Minimum 2 years of experience as a Conversational Designer About the Role We are looking for a Conversational Designer to join our team and shape intuitive, human-like experiences across our Conversational AI platforms (chatbots, voice bots, and virtual assistants). You'll work closely with product managers, developers, business stakeholders, and subject matter experts to create engaging, on-brand dialogue flows that help users accomplish their goals with ease. This role involves regular interaction with clients based in the UK and USA , as well as collaboration with our internal operations and development teams . Comfort and confidence in engaging with global stakeholders is essential. You will also be responsible for the continuous fine-tuning of bot experiences by leveraging bot analytics, performance data, and user feedback to improve conversation flow, coverage, and effectiveness over time. Responsibilities Design end-to-end conversation flows, use cases, and intents for chatbots and voice assistants Write and optimize prompts, responses, fallbacks, and disambiguation paths with natural, empathetic, and context-aware language Collaborate with NLP teams to ensure accurate training data and utterance coverage Partner with business stakeholders, subject matter experts and product teams to map customer journeys and identify automation opportunities Use tools like Dialogflow, Voiceflow, Rasa, or LivePerson or similar to build and test conversational experiences Maintain tone, personality, and consistency of the virtual assistant across use cases and channel Create conversation design documentation including flows, sample dialogues, and design rationale Communicate design concepts and rationale clearly to both technical and non-technical stakeholders, including clients Experience 2+ years of experience in conversational design or journey design for AI-powered bots Strong understanding of conversation design principles, user intent modeling, and dialogue structuring Experience with NLP platforms like LivePerson, Yellow.AI, Kore.AI, Dialogflow, IBM Watson, Amazon Lex, or similar Familiarity with chatbot metrics and optimization techniques (e.g., drop-off rates, containment, NLU confidence) Excellent communication skills and the ability to simplify complex workflows Strong empathy and ability to write natural, friendly, and brand-aligned copy Nice to have: experience designing for voice assistants (e.g., Alexa, Google Assistant) Nice to have: Background in linguistics, cognitive science, UX design, or similar Those who are interested please reach out to Barkha Verma at BV00792989@TechMahindra.com or apply on this Job post.

We are looking for a highly skilled Dialogflow CX Developer to design, develop, and deploy intelligent conversational agents using Google Cloud technologies. The ideal candidate will have strong expertise in Python, GCP services, and Dialogflow CX configuration, along with a solid understanding of machine learning and cloud deployment practices. Responsibilities • Design and implement conversational workflows using Dialogflow CX • Develop and deploy backend services using Python (Flask, Pandas, Containers) • Build and manage applications using GCP services like Cloud Run, Cloud Functions, and Cloud Scheduler • Integrate conversational agents with external systems and APIs • Implement and manage data pipelines using Big Query • Work with CI/CD pipelines to streamline development and deployment • Apply prompting techniques for NLP and AI-driven conversations • Follow software design patterns to write scalable and maintainable code • Collaborate with data scientists, product managers, and cloud architects Qualifications Strong hands-on experience with: Google Cloud Platform (GCP) – Cloud Run, Cloud Functions, Cloud Scheduler Python – Flask, Pandas, Containers, Intermediate-level coding Dialogflow CX – Configuration and conversation design Good understanding of: Machine Learning concepts Big Query for data analysis CI/CD tools and workflows Prompting techniques for conversational models Design patterns for backend and AI applications

We are looking for a highly motivated AI Developer with 2 to 3 years of experience in building AI-powered chatbot agents and strong proficiency in Python. The ideal candidate should have hands-on experience with conversational AI platforms, natural language processing (NLP), and deploying intelligent virtual assistants that provide seamless user experiences. Requirements : Design, develop, and deploy intelligent chatbot agents using Python and AI frameworks. Build and train NLP models for intent classification, entity extraction, and response generation. Work with platforms such as Rasa, Dialogflow, Microsoft Bot Framework, or OpenAI GPT-based tools. Integrate chatbots with web/mobile applications, CRMs, or third-party APIs. Write clean, scalable, and well-documented Python code to support AI logic and backend functionalities. Continuously evaluate and improve chatbot performance through analytics and feedback loops. Collaborate with product managers, designers, and developers to define bot workflows and use cases. Ensure data privacy, security, and compliance in AI-driven solutions Benefits : 5 Day working On time salary inter- tech work Skill upgradation trainings Soft skills trainings Rewards and recognitions weekly de-stressing activities Job Types: Part-time, Contractual / Temporary Pay: ₹14,645.88 - ₹60,195.54 per month Schedule: Day shift Monday to Friday Work Location: In person

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation : You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences. #LI-HIDGlobal

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required, 15 years full time education

Vice President/Delivery- Generative AI/ConversationalAI/Vertex AI/Google Dialogflow 17+ years of experience Hybrid role. Noida/Gurugram/Pune/Bangalore Generative AI/Agentic AI experience with vertex AI/CCaaS/Google dialogflowCX. conversational agents/Autonomous Agent/Voice Bot/DigitalCX/Vertex AI/Google CCAI. end to end delivery experience required for global projects. Strong python experience. great communications. client facing role.

Job Summary: We are seeking a highly skilled and experienced Solution Architect & Delivery Lead to join our dynamic team. This pivotal role will be responsible for defining the technical vision, designing robust solutions, and leading the end-to-end delivery of Google Contact Center AI (CCAI) initiatives, with a primary focus on CCAI Agent Assist and Dialogflow CX . The ideal candidate possesses deep hands-on expertise in conversational AI and contact center technologies, combined with proven leadership skills to guide project teams, manage stakeholders, and ensure successful, on-time, and within-budget project delivery. You will bridge the gap between business requirements and technical implementation, translating complex needs into actionable solution architectures and overseeing their execution from concept to deployment. Key Responsibilities Solution Architecture & Design (approx. 50%): Lead discovery sessions to gather and analyze complex business requirements, translating them into comprehensive Solution Design Document and architectural designs for CCAI Agent Assist and Dialogflow solutions. Design end-to-end conversational flows, intent identification, entity extraction, and fulfillment logic using Dialogflow ES/CX for both voice and chat applications. Architect and implement CCAI Agent Assist features, including real-time sentiment analysis, knowledge base integration, smart reply suggestions, and script nudges. Define integration strategies for CCAI solutions with existing contact center platforms (e.g., Salesforce, Zendesk, Genesys, Avaya), CRM systems, backend APIs, and data sources. Evaluate and recommend appropriate Google Cloud Platform (GCP) services (e.g., Cloud Storage, Cloud Functions, BigQuery, Pub/Sub, Vertex AI) to support CCAI deployments. Develop detailed architecture diagrams, technical specifications, and design documents. Ensure solutions are scalable, secure, reliable, cost-effective, and adhere to industry best practices and compliance standards. Conduct technical feasibility studies and Proof-of-Concepts (POCs) to validate architectural approaches. Stay abreast of the latest Google CCAI developments, Generative AI capabilities (including Vertex AI Conversation), and overall contact center AI trends. Project Delivery & Leadership (approx. 50%): Lead and manage the full lifecycle of CCAI projects from initiation to deployment and post-implementation support. Develop detailed project plans, scope definitions, timelines, resource allocation, and budget estimates. Act as the primary technical point of contact for clients and internal stakeholders, ensuring clear communication and expectation management. Oversee and mentor development teams (engineers, NLU specialists, QA) throughout the project lifecycle, ensuring adherence to architectural designs and quality standards. Proactively identify and mitigate project risks, resolving technical and operational roadblocks. Implement Agile methodologies (Scrum/Kanban) to ensure efficient and iterative development cycles. Define and oversee testing strategies, including unit, integration, user acceptance, and performance testing for conversational AI solutions. Collaborate with business analysts, product owners, and operations teams to ensure seamless solution adoption and measurable business impact. Provide expert guidance and troubleshooting support for complex technical issues. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 15+ years of progressive experience in software development, solution architecture, or technical consulting roles. 3-5+ years of hands-on experience designing and delivering Google CCAI solutions, with significant expertise in both CCAI Agent Assist and Dialogflow (ES/CX). Deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles. Proven experience integrating Dialogflow solutions with various channels (e.g., Genesys, Twilio, Google Contact Center AI Partner Integrations). Strong proficiency in at least one programming language (e.g., Python, Node.js, Java) for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services, particularly those relevant to AI/ML and data pipelines. Demonstrated experience leading complex, cross-functional technical projects from concept to completion. Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications Master's degree in a relevant field. Google Cloud Professional Cloud Architect or Machine Learning Engineer certification. Experience with other Google AI services (e.g., Text-to-Speech, Speech-to-Text, Vertex AI). Familiarity with other contact center technologies and CRM platforms (e.g., Salesforce Service Cloud, Zendesk). Experience with pre-sales activities, including solutioning, effort estimation, and presenting to clients. Understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices in a contact center context. Experience working in an Agile/Scrum environment.

Job Summary: We are seeking an experienced and highly motivated Delivery Lead to spearhead the successful implementation of Google Contact Center AI (CCAI) solutions, with a strong emphasis on CCAI Agent Assist and Dialogflow (ES/CX) . This role is critical in bridging the gap between solution design and technical execution. The Delivery Lead will be responsible for leading project teams, managing client relationships, and ensuring the on-time, on-budget, and high-quality delivery of complex conversational AI and agent augmentation projects. You will act as the primary point of contact for project stakeholders, proactively identifying and mitigating risks, and ensuring that strategic objectives are met through technical excellence. Key Responsibilities Project Leadership & Management (60%): Lead the full lifecycle of CCAI projects from initiation and planning through execution, monitoring, control, and closure. Develop and manage comprehensive project plans, including scope definition, detailed timelines, resource allocation, and budget tracking. Serve as the primary client contact for project delivery, establishing strong relationships, managing expectations, and providing regular progress updates. Lead and motivate diverse project teams (Solution Architects, NLU Specialists, Engineers, QA Analysts), fostering a collaborative and high-performing environment. Proactively identify, assess, and mitigate project risks and issues, implementing contingency plans to ensure successful outcomes. Manage project scope changes effectively, ensuring proper documentation and communication to all stakeholders. Conduct regular internal and external project review meetings, preparing and presenting status reports to senior management and clients. Ensure projects adhere to defined quality standards, best practices, and governance frameworks (e.g., Agile/Scrum). Technical Oversight & Quality Assurance (30%): Understand and validate the technical solution architecture for CCAI Agent Assist and Dialogflow, ensuring it aligns with client requirements and business objectives. Provide technical guidance and oversight to the engineering and development teams, ensuring adherence to design specifications and best practices for NLU and conversational AI. Specifically oversee the implementation of Dialogflow agents (intents, entities, flows, fulfillment logic) and CCAI Agent Assist features (real-time knowledge base integration, smart reply suggestions, sentiment analysis, script nudges). Ensure seamless integration of CCAI solutions with existing contact center platforms (e.g., Genesys, Twilio, Salesforce Service Cloud, Zendesk) and enterprise systems. Work closely with QA to define comprehensive testing strategies (unit, integration, UAT, performance) for conversational AI flows and agent assistance capabilities. Facilitate technical problem-solving during project execution, collaborating with architects and engineers to overcome complex challenges. Ensure solutions are built for scalability, security, reliability, and maintainability. Stakeholder Management & Communication (10%): Translate technical concepts and project updates into clear, concise language for non-technical stakeholders and business leadership. Negotiate and resolve conflicts effectively, maintaining positive client relationships. Collaborate with pre-sales teams to refine project scope and estimates during the planning phase. Facilitate knowledge transfer and training for client teams post-deployment, ensuring successful adoption and ongoing support. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 12+ years of experience in technical project management, delivery leadership, or a similar client-facing role. 3-5+ years of demonstrable experience leading the delivery of Google Cloud-based AI solutions, with specific hands-on project experience involving: Google CCAI Agent Assist (critical) Google Dialogflow (ES and/or CX) (critical) Strong understanding of conversational AI principles, NLU, and contact center operations. Proven experience managing complex projects with cross-functional technical teams. Familiarity with core Google Cloud Platform (GCP) services relevant to AI deployments (e.g., Cloud Functions, BigQuery, Pub/Sub). Experience with Agile/Scrum methodologies and tools (e.g., Jira, Confluence). Exceptional leadership, communication, interpersonal, and presentation skills (both written and verbal). Strong analytical, problem-solving, and negotiation abilities. Proven ability to manage multiple projects concurrently and adapt to changing priorities. Preferred Qualifications Master's degree or PMP/Agile certification (CSM, PMI-ACP). Google Cloud Certification (e.g., Professional Cloud Architect, Professional Collaboration Engineer). Hands-on experience with contact center platforms beyond CCAI (e.g., Genesys, Avaya, Cisco, Five9). Experience with other Google AI services (e.g., Speech-to-Text, Text-to-Speech, Vertex AI, Gemini models) and understanding of their integration potential. Technical background in software development (e.g., Python, Node.js) to understand implementation complexities. Experience in pre-sales activities, including solution scoping and effort estimation. Understanding of data privacy and security best practices in a contact center environment.

Job Summary: We are seeking a highly skilled and experienced Solution Architect & Delivery Lead to join our dynamic team. This pivotal role will be responsible for defining the technical vision, designing robust solutions, and leading the end-to-end delivery of Google Contact Center AI (CCAI) initiatives, with a primary focus on CCAI Agent Assist and Dialogflow CX . The ideal candidate possesses deep hands-on expertise in conversational AI and contact center technologies, combined with proven leadership skills to guide project teams, manage stakeholders, and ensure successful, on-time, and within-budget project delivery. You will bridge the gap between business requirements and technical implementation, translating complex needs into actionable solution architectures and overseeing their execution from concept to deployment. Key Responsibilities Solution Architecture & Design (approx. 50%): Lead discovery sessions to gather and analyze complex business requirements, translating them into comprehensive Solution Design Document and architectural designs for CCAI Agent Assist and Dialogflow solutions. Design end-to-end conversational flows, intent identification, entity extraction, and fulfillment logic using Dialogflow ES/CX for both voice and chat applications. Architect and implement CCAI Agent Assist features, including real-time sentiment analysis, knowledge base integration, smart reply suggestions, and script nudges. Define integration strategies for CCAI solutions with existing contact center platforms (e.g., Salesforce, Zendesk, Genesys, Avaya), CRM systems, backend APIs, and data sources. Evaluate and recommend appropriate Google Cloud Platform (GCP) services (e.g., Cloud Storage, Cloud Functions, BigQuery, Pub/Sub, Vertex AI) to support CCAI deployments. Develop detailed architecture diagrams, technical specifications, and design documents. Ensure solutions are scalable, secure, reliable, cost-effective, and adhere to industry best practices and compliance standards. Conduct technical feasibility studies and Proof-of-Concepts (POCs) to validate architectural approaches. Stay abreast of the latest Google CCAI developments, Generative AI capabilities (including Vertex AI Conversation), and overall contact center AI trends. Project Delivery & Leadership (approx. 50%): Lead and manage the full lifecycle of CCAI projects from initiation to deployment and post-implementation support. Develop detailed project plans, scope definitions, timelines, resource allocation, and budget estimates. Act as the primary technical point of contact for clients and internal stakeholders, ensuring clear communication and expectation management. Oversee and mentor development teams (engineers, NLU specialists, QA) throughout the project lifecycle, ensuring adherence to architectural designs and quality standards. Proactively identify and mitigate project risks, resolving technical and operational roadblocks. Implement Agile methodologies (Scrum/Kanban) to ensure efficient and iterative development cycles. Define and oversee testing strategies, including unit, integration, user acceptance, and performance testing for conversational AI solutions. Collaborate with business analysts, product owners, and operations teams to ensure seamless solution adoption and measurable business impact. Provide expert guidance and troubleshooting support for complex technical issues. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 15+ years of progressive experience in software development, solution architecture, or technical consulting roles. 3-5+ years of hands-on experience designing and delivering Google CCAI solutions, with significant expertise in both CCAI Agent Assist and Dialogflow (ES/CX). Deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles. Proven experience integrating Dialogflow solutions with various channels (e.g., Genesys, Twilio, Google Contact Center AI Partner Integrations). Strong proficiency in at least one programming language (e.g., Python, Node.js, Java) for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services, particularly those relevant to AI/ML and data pipelines. Demonstrated experience leading complex, cross-functional technical projects from concept to completion. Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications Master's degree in a relevant field. Google Cloud Professional Cloud Architect or Machine Learning Engineer certification. Experience with other Google AI services (e.g., Text-to-Speech, Speech-to-Text, Vertex AI). Familiarity with other contact center technologies and CRM platforms (e.g., Salesforce Service Cloud, Zendesk). Experience with pre-sales activities, including solutioning, effort estimation, and presenting to clients. Understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices in a contact center context. Experience working in an Agile/Scrum environment.

Position Overview Job Title: Production Stability of AI Chatbot Application, AVP Location: Pune, India Role Description The AI chatbot application, designed to assist customers with bank-related queries, is a high-profile, mission-critical system with significant reputational impact. It directly supports customer experience and operational efficiency. The AI chatbot application plays a pivotal role in enhancing customer experience and reducing operational costs by providing 24/7 assistance for banking queries. Ensuring its stability in production is crucial. Given the high stakes of the AI chatbot application, hiring additional team members is essential to mitigate operational risks, maintain production stability, and protect the organization’s reputation. These roles will provide the necessary redundancy, scalability, and incident-handling capabilities to ensure the application meets its service-level commitments and delivers a seamless customer experience. Currently, the team is understaffed, and with only one member managing production, the system is at risk of extended downtimes and delays in addressing high-priority incidents. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities (AI/Chatbot Systems) Monitor production systems for performance, availability, and anomalies. Troubleshoot and resolve issues related to the AI chatbot, APIs, or infrastructure. Collaborate with development teams for bug fixes and enhancements. Provide application support by handling and consulting on BAU, Incidents/emails/alerts for the respective applications. Act as an escalation point for user issues and requests and from Level 1/L2 support. Report issues to senior management. Manage and mentor regional L1/L2 team to ensure the team is up to speed and picks up the support duties. Gain detailed knowledge of all business flows, the application architecture, and the hardware configuration for supported applications. Define, document, and maintain procedures, SLAs, and knowledge base to support the platforms to ensure consistent service levels are achieved across the global support team. Build and maintain effective and productive relationships with the stakeholders in business, development, infrastructure, and third-party systems / data providers. Manage incidents through resolution, keeping all stakeholders abreast of the situation and working to minimize impact wherever possible. Conduct post-mortems of incidents and drive relevant feedback into Incident, Problem and Change management programs. Facilitate coordination across L1/L2 and L3/Engineering teams to investigate and resolve an ongoing infrastructure/platform or application issue impacting multiple business lines. Drive the development and implementation of the tools and best practices needed to provide effective support. Collaborate with and deliver initiatives and install these initiatives to drive stability in the environment. Assist in the process to approve all new releases and production configuration changes; ensure development includes all necessary documentation for each change and conduct post-release testing where required. Perform reviews of all open production items with the development team and push for updates and resolutions to outstanding tasks and reoccurring issues. Regularly review and analyze service requests and issues that are raised; seek to improve the process and remove reoccurring tasks where possible. Perform reviews of existing monitoring for the platform and make improvements where possible. The candidate will have to work in shifts as part of a Rota covering EMEA hours and in the event of major outages or issues we may ask for flexibility to help provide appropriate cover. Your Skills And Experience 5+ years hands on IT support and interacting with application end users. Good analytical and problem-solving skills. Exceptional written and oral communication skills, including the ability to communicate technical information to a non-technical audience and at executive levels. Understanding of ITIL / best practices for supporting a production environment Preferred: ITIL v3 foundation certification. Preferred: Experience in a financial institution or large corporation; good technology background. Preferred: Prior experience working in chatbot based communication model or project. Understanding of how to get things done in large organizations, where to use processes and how to build and operate a network. Ability to work across countries, regions, and time zones with a broad range of cultures and technical capability. Technical competency Cloud Technologies: Hands-on experience with Google Cloud Platform (GCP). Strong understanding of Google Cloud Run for managing serverless containerized applications. Proficiency in configuring and managing Google Observability tools (Cloud Monitoring, Logging, and Error Reporting). DevOps Tools: Expertise in GitHub Actions for CI/CD pipelines. Experience with GitHub for version control and collaboration. AI/ML and Chatbot Frameworks: [Good to have] Experience with Dialogflow for building and optimizing chatbot applications. Knowledge of Google Moderation API and sensitive data removal services for content safety and compliance. Incident and Operations Management: Familiarity with incident management processes for high-criticality systems. Strong skills in monitoring application performance, troubleshooting, and root cause analysis. Soft Skills: Excellent problem-solving abilities in high-pressure scenarios. Strong communication skills to work effectively with stakeholders and cross-functional teams. Ability to prioritize tasks and manage time effectively in a fast-paced environment. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Description We are seeking an experienced Lex Voice Bot Developer to design, build, and maintain intelligent voice bots using Amazon Lex and AWS services. The ideal candidate will have strong experience with voice interaction design, cloud integration, and delivering natural language solutions. Responsibilities Experience in building and deploying voice bots using Amazon Lex, AWS Lambda, and API Gateway. Design conversational flows with intents, slots, and utterances. Integrate bots with APIs, databases, and backend systems. Optimize performance using CloudWatch, logging, and analytics tools. Collaborate with UX teams to create effective voice user experiences. Manage production deployments and ensure bot scalability and reliability. Ensure all solutions follow security, privacy, and compliance standards. Qualifications 3+ years of strong hands-on experience with Amazon Lex and AWS Lambda. Solid understanding of NLP/NLU, conversation design, and voice UX. Proficiency in Python, Node.js, or JavaScript. Experience integrating with REST APIs, databases, and backend services. Familiarity with Amazon Connect and telephony integration. Knowledge of ASR (Automatic Speech Recognition) and TTS (Text-to-Speech). Experience with CI/CD pipelines and Infrastructure as Code (e.g., CloudFormation or Terraform). Strong debugging, logging, and bot performance tuning skills. Nice to have: Experience with Amazon Connect, Google Dialogflow, or Nuance.

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com . HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

- 5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.