839 Google Jobs - Page 18

Skill required: Marketing Operations - Campaign Management Designation: Bus & Technology Delivery Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designCampaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. What are we looking for Customer Support OperationsProblem-solving skillsAgility for quick learningHands-on experience with trouble-shootingDigital Marketing Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: Marketing Operations - Campaign Management Designation: Campaign Management Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a highly skilled and detail-oriented Ad Operations Specialist to join our dynamic team. The ideal candidate will be responsible for managing and optimizing the delivery of digital advertising campaigns, ensuring smooth execution, and maintaining the quality and performance of digital ad operations. The role requires a strong understanding of digital advertising platforms, analytics, and the ability to troubleshoot issues effectively.1.Campaign Management:oSet up, monitor, and optimize digital ad campaigns across various platforms/products (display, video, social media, etc.).oEnsure proper targeting, scheduling, and creative deployment for optimal campaign delivery.oManage creative assets and ad trafficking, ensuring the correct formats and specifications are used.oWork closely with the client and provide analytical/campaign reports, track KPIs, and optimize campaigns based on performance metrics.oTroubleshoot and resolve campaign issues related to delivery, tracking, and ad quality.2.Technical Setup & Troubleshooting:oPerform ad trafficking tasks, ensuring that all campaigns are set up properly and execute without errors.oTroubleshoot technical issues, such as discrepancies in reporting, creative issues, or campaign performance problems.oCoordinate with vendors or partners to resolve any issues impacting campaign delivery.3.Client Servicing:oCollaborate with account managers/clients, and internal teams to align campaign objectives with ad execution.oCommunicate with Internal & External teams to ensure a smooth campaign delivery takes place.oExcellent written and verbal communication skills for internal and client-facing interactionsoGood at articulating the problems/challenges in simple wordsoProactive in identifying issues/challenges and use the technical knowledge to suggest solutions What are we looking for 4.Reporting & Analysis:oCreate campaign performance reports and actionable insights to clients and stakeholders.oHelp with the analysis of campaign data to identify trends, opportunities, and areas for improvement.5.Platform Expertise:oStay up to date with the latest trends and updates in digital advertising platforms (Google Ad Manager, Magnite, etc)oMaintain expert knowledge of ad-serving technologies, tracking methods, and optimization tools6.Quality Assurance:Review and ensure all creative assets meet technical specifications and are free from errors. Resolve any discrepancies before the ads go live. Qualifications & Skills: Education:Bachelors degree or Preferred in Marketing, Advertising or related field.Experience:2-3 years of experience in Campaign Management or Ad Operations or Digital marketing.Technical Skills: Familiarity with ad-serving platforms (DoubleClick, Sizmek, Google Ad Manager, etc.) and analytics tools (Google Analytics, Magnite, Tableau, etc).Attention to Detail:Strong ability to manage and optimize campaigns with a focus on precision and accuracy.Analytical Mindset:Strong data analysis skills and comfort with numbers to make informed decisions.Communication Skills: Excellent written and verbal communication skills for internal and client-facing interactions.Problem-Solving:Ability to troubleshoot and resolve issues in a timely and efficient manner Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shiftsPreferred Skills: Experience in Video, Audio, Mobile, or Display advertising.Knowledge in Microsoft Excel is must.Excellent written and verbal communication skills for internal and client-facing interactions.Experience with programmatic advertising and RTB (Real-Time Bidding) will be a plus point.Work Environment:Working with dynamic team.Work from office or Hybrid depending on project requirementsThe role involves working in night shift catering to US client with 5-day work schedule with weekly 2 days week offs Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 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:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- 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 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:- The candidate should have a minimum of 10 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 Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Salesforce Development Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are tailored to enhance operational efficiency. You will engage in problem-solving discussions and contribute to the overall success of the projects by leveraging your expertise in application development. Key Responsibilities:Create Slack apps using the Slack API (Web API, Events API, Bolt SDK, etc.).Build bots that can respond to messages, send alerts, and automate conversations.Design Slack workflows using Workflow Builder or code-based automations.Integrate Slack with other tools like Google Calendar, Jira, GitHub, or custom systems.Use modals, message blocks, and interactive components to create rich user experiences inside Slack. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce Development.- Strong understanding of application design principles and best practices.- Experience with Apex programming and Visualforce pages.- Familiarity with Salesforce Lightning components and frameworks.- Knowledge of integration techniques with external systems. Additional Information:- The candidate should have minimum 2 years of experience in Salesforce Development.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

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 ServicesMinimum 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 Qualification 15 years full time education

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 ServicesMinimum 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, AvayaIV.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 capabilitiesIX.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. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- 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:- The candidate should have a minimum of 15+ 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 Qualification 15 years full time education

Job Title - GN - SONG - Service - Google Gen AI - Analyst Management Level: 11-Analyst Location: Gurugram, DDC1A Must-have skills: Google Generative AI Studio Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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 knowledge/experience on Google Gen AI product suite like Vertex AI, Google Gemini, Decibel, Generators, Generative Fallback, Playbooks, LLM based topic modelling, LLM Agent Assist. Drive design thinking innovative workshops with the clients using design principles and help shape their Gen AI implementation strategy thinking about the business value proposition and customer experience. 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 Accenture and client team on CCaaS (Contact Center as a Service) migration Deliver using agile delivery process, continuous improvement and continuous development Work with other Accenture 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 understanding of CCAI Framework and integration with internal and external components. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Passion for building leading class Google contact center solutions for clients Having thorough understanding of end to end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Experience of building Gen AI based use-cases and solutions that work across industries and markets Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Ability to work effectively in a remote, inclusive, virtual, global environment Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Read about us. Blogs Qualification Experience: 3 to 5 Years Educational Qualification: BE Btech

Skill required: Marketing Operations - Campaign Management Designation: Campaign Management Associate Qualifications: Any Graduation Years of Experience: 1 to 3 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The CRM Advisor will be responsible for managing Clients customer relationship management (CRM) systems and initiatives, ensuring the effective use of customer data to drive engagement, retention, and growth. This role will play a key part in the development and execution of CRM strategies that enhance customer experiences, foster long-term loyalty, and maximize customer value. The CRM Advisor will collaborate with multiple internal teams, leveraging data and insights to ensure that Clients CRM tools and processes deliver measurable results aligned with the companys business goals.Role requires Digital Marketing Ads & Promotion creation/designCampaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. What are we looking for CRM Systems ExpertiseGood understanding of CRM platforms such as Salesforce, Adobe Campaign, Dot Digital to manage customer relationships and deliver targeted campaigns.Data Management & AnalyticsStrong ability to manage and analyze customer data to derive insights and inform strategic decisions. Familiarity with tools like Excel, Google Analytics, or Tableau for reporting and analysis.Customer SegmentationAbility to analyze customer data and create actionable customer segments for targeted communications, leveraging analytics and insights to personalize engagement.Marketing AutomationKnowledge of marketing automation platforms to streamline customer interactions and campaigns across channels (email, SMS, etc.).Integration & Data Flow ManagementFamiliarity with integrating CRM tools with other business systems (e.g., marketing platforms, sales systems) to enable seamless data flow and customer experience.Customer-Centric ApproachStrong focus on understanding and anticipating customer needs, using CRM tools to deliver personalized, relevant customer experiences.Analytical ThinkingAbility to analyze data and identify trends, insights, and opportunities for CRM improvements and business growth.Project ManagementExcellent organizational and time management skills, with the ability to manage multiple projects simultaneously, ensuring delivery on time and within scope.Collaboration & CommunicationStrong interpersonal and communication skills, capable of working cross-functionally with diverse teams and engaging stakeholders effectively.Problem-SolvingProactive in identifying challenges in CRM processes or customer interactions, developing effective solutions to enhance performance.Attention to DetailHigh attention to detail in managing customer data and executing campaigns to ensure accuracy and quality in all CRM-related activities. Roles and Responsibilities: CRM Strategy Development and ImplementationDevelop and execute CRM strategies to enhance customer engagement, drive retention, and support business objectives. Collaborate with marketing, sales, and digital teams to align CRM efforts with overall customer experience strategies.CRM System ManagementOversee the configuration, management, and optimization of Clients CRM systems (e.g., Salesforce, Dynamics 365), ensuring the systems are fully utilized to meet customer and business needs. Troubleshoot issues and work with IT to resolve technical challenges.Customer Data ManagementEnsure data quality and integrity by implementing best practices for customer data collection, segmentation, and enrichment. Maintain a customer database that allows for targeted, personalized marketing and communication strategies.Campaign Planning and ExecutionLead the creation and execution of CRM campaigns, including email, SMS, loyalty programs, and push notifications, ensuring they are aligned with business objectives and customer preferences.Performance Monitoring and ReportingTrack the effectiveness of CRM campaigns through key performance indicators (KPIs), such as customer retention rates, engagement levels, and ROI. Provide regular reports to senior leadership on campaign results and customer insights.Collaboration Across FunctionsWork closely with marketing, digital, sales, and customer service teams to ensure CRM strategies are integrated across all touchpoints and deliver a consistent and exceptional customer experience.Continuous ImprovementStay up to date with industry best practices, CRM trends, and technological advancements. Recommend improvements to Clients CRM strategies, tools, and processes based on market research and customer feedback. Qualification Any Graduation

Skill required: NA - Solution Architecture Designation: Solution Enablement Manager Qualifications: BCom/BCA/Bachelor of Arts Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Expert About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Accenture Operations Solution Innovation is responsible for solution configuration of client requirements and integration with sales to promote growth. We ensure a simplified solutioning process to reduce solution turnaround time, industrialize our ability to respond to RFPs and support sales opportunities.As a Marketing/E-commerce Operations Solution Architect, you will play a pivotal role in designing, implementing, and optimizing digital marketing and e-commerce solutions. Your primary focus will be on integrating marketing technology, CRM systems, and e-commerce platforms to create seamless customer experiences. You will collaborate with cross-functional teams to ensure alignment between business goals, technology infrastructure, and operational efficiency.Design, implement and direct a solution architecture to address specific problems and requirements, usually through the application of technical, business process and/or industry knowledge. What are we looking for Brand MarketingDigital Marketing AnalyticsDigital Marketing CampaignsDigital MarketingWritten and verbal communicationWe are seeking a highly skilled and experienced professional with a strong background in marketing automation, CRM, e-commerce platforms, and digital transformation. The ideal candidate should have a deep understanding of marketing and e-commerce workflows, technical integrations, and data analytics. A proactive problem solver with excellent communication and leadership skills will thrive in this roleeCommerce StrategyCloud platforms such as AWS, Azure, or Google Cloud.CRM Knowledge Adobe, SFMCMarketing technology stack including CDPs (Customer Data Platforms)Market benchmarkingCosting mechanism Roles and Responsibilities: Bridge between sales, client and delivery teamsPrepare the solution end to endRun Solution reviews and approvalsCosting and market analysisWays to optimize the solution and pyramidImplementing required technology Stake holder management Qualification BCom,BCA,Bachelor of Arts

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 ServicesMinimum 7.5 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, AvayaIV.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 capabilitiesIX.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:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.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. Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 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:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- 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, 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:- The candidate should have a minimum of 10 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 Qualification 15 years full time education

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 ServicesMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, 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:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- 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- Develop CCAI- 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.- Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some 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.- 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 Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions in a dynamic environment. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously assess and improve existing processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Kubernetes, Google Kubernetes Engine, Google Cloud Compute Services.- Good To Have Skills: Experience with Google Kubernetes Engine, Google Cloud Compute Services.- Strong understanding of container orchestration and management.- Experience with cloud infrastructure design and deployment.- Familiarity with CI/CD pipelines and automation tools. Additional Information:- The candidate should have minimum 12 years of experience in Kubernetes.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google Cloud Machine Learning Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BTech Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the application design and development process- Ensure effective communication within the team and stakeholders- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services- Strong understanding of cloud-based machine learning services- Experience in designing and implementing machine learning models on Google Cloud Platform- Knowledge of data preprocessing and feature engineering techniques- Hands-on experience with deploying machine learning models in production environments Additional Information:- The candidate should have a minimum of 12 years of experience in Google Cloud Machine Learning Services- This position is based at our Kolkata office- A BTech degree is required Qualification BTech

Requirements Elicitation, Understanding, Analysis, & Management • Understand the project's Vision and requirements, and contribute to the creation of the supplemental requirements, building the low-level technical specifications for a particular platform and/or service solution. Project Planning, Tracking, & Reporting • Estimate the tasks and resources required to design, create (build), and test the code for assigned module(s). • Provide inputs in creating the detailed schedule for the project. • Support the team in project planning activities, in evaluating risks, and shuffle priorities based on unresolved issues. • During development and testing, ensure that assigned parts of the project/modules are on track with respect to schedules and quality. • Note scope changes within the assigned modules and work with the team to shuffle priorities accordingly. • Communicate regularly with the team about development changes, scheduling, and status. • Participate in project review meetings. • Tracking and reporting progress for assigned modules Design: • Create a detailed (LLD) design for the assigned piece(s) with possible alternate solutions. • Ensure that LLD design meets business requirements. • Submit the LLD design for review. • Fix the detailed (LLD) design for the assigned piece(s) for the comments received from team. Development & Support • Build the code of high-priority and complex systems according to the functional specifications, detailed design, maintainability, and coding and efficiency standards. • Use code management processes and tools to avoid versioning problems. • Ensure that the code does not affect the functioning of any external or internal systems. • Perform peer reviews of code to ensure it meets coding and efficiency standards. • Act as the primary reviewer to review the application code created by software engineers to ensure compliance to defined standards. Recommend changes to the code as required. Testing & Debugging • Attend the Test Design walkthroughs to help verify that the plans and conditions will test all functions and features effectively. • Perform impact analysis for issues assigned to self and Software Engineers /Sr Engineers. • Actively assist with project- and code-level problem solving, such as suggesting paths to explore when testing engineers or software engineers encounter a debugging problem, and escalate urgent issues. Documentation • Review technical documentation for the code for accuracy, completeness, and usability. • Document and maintain the reviews conducted and the unit test results. Process Management • Adhere to the project and support processes. • Adhere to best practices and comply with approved policies, procedures, and methodologies, such as the SDLC cycle for different project sizes. • Shows responsibility for corporate funds, materials and resources. • Ensure adherence to SDLC and audits requirements. • Adhere to best practices and comply with approved policies, procedures, and methodologies. Coaching and Mentoring • Act as a technical subject matter expert for the internal team on areas such as system functionality and approach including solving systems operations issues, performance initiatives. Leverage existing knowledge and expertise in multiple ways. • Build team skills using formal and/or informal training sessions. • Create and maintain knowledge repositories for lessons learnt and developments in the respective domains.Key Qualifications At least 10+ years of engineering experience Strong object-oriented programming, functional programming, and design skills. Significant experience with Kotlin, Java, JetPack Compose, Activities/Fragments, and more Android SDKs. Significant experience building and deploying apps to Google Play. Significant experience creating user experiences that are pixel perfect, follow clear information architecture, and utilize established platform conventions. Significant experience architecting mobile apps from File New Project to shipped to customers. Strong understanding of patterns, MVC, MVVM, functional, and reactive programming. Significant experience calling, writing, and debugging REST APIs. Significant experience with HTML/JS/CSS apps. You are not expected to build web apps but will have to integrate with web apps. Understanding of the strengths and weaknesses of cross platform frameworks, e.g. Flutter, React Native, and Kotlin Native. Strong communication skills Passion for quality and attention to detail. Experience writing multi-threaded, asynchronous code. Track record in debugging and optimizing code for performance using instrumentation. Understanding of the authentication and security challenges for native and web apps. Strong working experience with cross organizations and several teams across the company. Daily activities include: Reviewing software engineer's pull requests and mentoring them on best practices. Writing stories for software engineers to implement, including yourself. Reviewing upcoming designs to provide feedback on conformance to mobile platform UX patterns. Building apps for release to internal deployment sites and the App Store/Google Play, including TestFlight and Non-Prod Release Channels. Triaging customer feedback, customer incidents, and crash reports. Complete more technically challenging stories. Performance test code for bottlenecks. Monitor unit & UI test code coverage and drive higher coverage percentages. Deliver an automated build pipeline for mobile apps. Evaluate cross-platform technologies Evaluate latest changes to the Apple & Google SDKs and suggest new features Location: This position can be based in any of the following locations: Gurgaon For internal use only: R000107035

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : Google Cloud Compute Services Good to have skills : DevOpsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Implement and maintain CI/CD pipelines- Automate infrastructure provisioning and configuration- Monitor system performance and implement security measures Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Compute Services, DevOps- Strong understanding of cloud technologies- Experience with container orchestration tools like Kubernetes- Knowledge of security best practices in cloud environments- Hands-on experience with CI/CD tools like Jenkins- Familiarity with scripting languages like Python Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Compute Services- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process, cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. Your typical day will involve collaborating with the client team, coordinating with subject matter experts, and leveraging your expertise in sales pursuit management to drive the origination process and achieve sales targets. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the origination process cross service-group deals.- Collaborate with the client team and relevant subject matter experts.- Drive the sales pursuit management and ensure successful deal closures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Experience in managing complex sales pursuits.- Proven track record of achieving sales targets.- Excellent communication and negotiation skills. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Gurugram office.- A BE degree is required. Qualification BE

Skill required: Marketing Operations - Campaign Management Designation: Campaign Management Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designCampaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. What are we looking for Stakeholder Management:Excellent communication and interpersonal skills to effectively engage with client stakeholders, technical teams, and leadership.Resource Coordination:Ability to allocate and manage project resources efficiently, ensuring optimal team performance and productivity.Problem-Solving:Strong analytical and problem-solving skills to address project challenges and make data-driven decisions. Team Leadership:Experience in leading cross-functional teams, fostering collaboration, and promoting a positive team culture.Work Orchestration and Data hygiene:Fully understand ticketing/request management tool and accurately record updates, assignments, data points, timestamps etc. to provide seamless experience to both internal and external stakeholders.Adhere to all Desktop Procedures (DTPs) / Standard Operating Procedures (SOP) along with checklist and other important process document wherever applicable to carry out all required tasks.Complete all required reports so that accurate numbers are reported to both client and leadership Roles and Responsibilities: Project Planning and Requirement Gathering:Collaborate with client stakeholders, technical leads, and campaign developers to define project/campaign scope, objectives,deliverables,and timelines.Create comprehensive project plans, outlining tasks, dependencies, resource requirements, document, and track updates regularly. Ensure request submitted by Clients are complete and accurate before assigning it to Campaign Developers.Stakeholder Communication:Act as the primary point of contact for all project-related communications.Regularly engage with client stakeholders to provide updates on project progress, gather feedback, and manage expectations.Resource Management:Allocate project and campaign tasks to campaign developers and technical leads based on their expertise and availability. Ensure that team members have the necessary resources and support to fulfil their responsibilities effectively.Risk Assessment and Mitigation:Identify potential project risks and issues, both technical and non-technical, and develop mitigation strategies to minimize their impact on project success.Post Implementation Review:Ensure Deliverables meet the highest standards of quality, adhering to best practices and client requirements. Conduct thorough testing and review processes before deliverables are shared for client review and approval. Ensure feedbacks are well documented and communicated to Developers/ Team leads.Marketing Automation Platform Knowledge:Familiarity with Braze, Adobe Experience Cloud or Salesforce Marketing Cloud platforms or equivalent platforms and their respective tools(e.g.,Adobe Campaign,SFMC Email Studio,Journey Builder).Budget and Cost Control:Manage project budgets, track expenses, and control costs throughout the project lifecycle. Work closely with finance teams to ensure project financials align with the approved. Timeline Management:Monitor project timelines,identify potential delays,and implement corrective actions to keep the project on track for timely delivery. Change Management:Manage change requests and scope adjustments throughout the project. Evaluate the impact of changes on timelines, resources, and budgets and obtain necessary approvals.Reporting and Documentation:Provide regular project status reports to client stakeholders, senior management, and other relevant parties. Maintain comprehensive project documentation, including meeting minutes, action items,and project-related decisions. Issue Resolution:Facilitate issue resolution by collaborating with cross-functional teams, identifying root causes Qualification Any Graduation

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 ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 7 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 years full time education is required Qualification 15 years full time education

Skill required: Marketing Operations - Campaign Management Designation: Digital Content Management Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years Language - Ability: English - Intermediate About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designCampaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. What are we looking for . Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 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 7 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 Qualification 15 years full time education

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process for cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. This role requires strong leadership skills and the ability to collaborate with multiple teams to achieve sales targets and deliver exceptional customer experiences. Roles and Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead and manage the entire origination process for cross-client, cross service-group deals.- Collaborate with the CAL, client team, and subject matter experts to drive successful deal closures.- Develop and maintain strong relationships with clients and stakeholders.- Provide guidance and support to junior professionals in the sales pursuit management process. Professional and Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Excellent communication and negotiation skills.- Ability to analyze market trends and identify business opportunities.- Proven track record of achieving sales targets.- Experience in managing complex sales processes.- Ability to build and maintain strong client relationships. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Chennai office.- A BE degree is required. Qualification BE

Skill required: Marketing Operations - Campaign Management Designation: Campaign Management Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designCampaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. What are we looking for Campaign Management focuses on planning, executing, tracking and analysis of direct marketing campaigns. The team is responsible for the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations. The role may require for you to have a good understanding of digital marketing, email marketing and technologies like Salesforce Marketing Cloud, Salesforce CRM, Salesforce Automation studio, Google DV360 and Responsys. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities:- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.- Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must 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.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 18+ 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 Qualification 15 years full time education