167 Ai Platform Jobs - Page 5

Internship Opportunity No-Code Automation Were looking for a proactive intern to help build and maintain automated workflows using no-code tools like n8n . Key Responsibilities: Build and optimize automation workflows Integrate tools using APIs and webhooks Troubleshoot and iterate workflows Maintain documentation and support knowledge sharing Who Should Apply: Familiar with no-code platforms (esp. n8n) Basic understanding of APIs & webhooks Strong problem-solving and learning attitude Can work independently Location Note: Candidates whose hometown is Siliguri but are currently based in other cities are encouraged to apply . Were open to relocation for the right fit and this is a great opportunity to move back home while gaining hands-on experience.

Job Title Ind & Func AI Value Strategy Consultant- S&C GN Management Level :9 - Consultant Location:Bangalore / Hyderabad / Pune / Gurugram Must have skills: Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary :As an AI Value Strategy Consultant, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Additional Information Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Worked on data engineering, data analytics, data visualization and/or solutioning. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture Qualification Experience: Minimum 5+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Job Title Ind & Func AI Value Strategy Manager- S&C GN Management Level : 7 Manager Location: Bangalore / Hyderabad / Pune / Gurugram Must have skills :Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary : As an AI Value Strategy Manager, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Other skills Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Minimum 10+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Job Summary We are seeking a highly skilled Senior Technical Architect with expertise in Databricks, Apache Spark, and modern data engineering architectures. The ideal candidate will have a strong grasp of Generative AI and RAG pipelines and a keen interest (or working knowledge) in Agentic AI systems. This individual will lead the architecture, design, and implementation of scalable data platforms and AI-powered applications for our global clients. This high-impact role requires technical leadership, cross-functional collaboration, and a passion for solving complex business challenges with data and AI. Key Responsibilities Lead architecture, design, and deployment of scalable data solutions using Databricks and the medallion architecture. Guide technical teams in building batch and streaming data pipelines using Spark, Delta Lake, and MLflow. Collaborate with clients and internal stakeholders to understand business needs and translate them into robust data and AI architectures. Design and prototype Generative AI applications using LLMs, RAG pipelines, and vector stores. Provide thought leadership on the adoption of Agentic AI systems in enterprise environments. Mentor data engineers and solution architects across multiple projects. Ensure adherence to security, governance, performance, and reliability best practices. Stay current with emerging trends in data engineering, MLOps, GenAI, and agent-based systems. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline. 10+ years of experience in data architecture, data engineering, or software architecture roles. 5+ years of hands-on experience with Databricks, including Spark SQL, Delta Lake, Unity Catalog, and MLflow. Proven experience in designing and delivering production-grade data platforms and pipelines. Exposure to LLM frameworks (OpenAI, Hugging Face, LangChain, etc.) and vector databases (FAISS, Weaviate, etc.). Strong understanding of cloud platforms (Azure, AWS, or GCP), particularly in the context of Databricks deployment. Knowledge or interest in Agentic AI frameworks and multi-agent system design is highly desirable. Technical Skills Databricks (incl. Spark, Delta Lake, MLflow, Unity Catalog) Python, SQL, PySpark GenAI tools and libraries (LangChain, OpenAI, etc.) CI/CD and DevOps for data REST APIs, JSON, data serialization formats Cloud services (Azure/AWS/GCP) Soft Skills Strong communication and stakeholder management skills Ability to lead and mentor diverse technical teams Strategic thinking with a bias for action Comfortable with ambiguity and iterative development Client-first mindset and consultative approach Excellent problem-solving and analytical skills Preferred Certifications Databricks Certified Data Engineer / Architect Cloud certifications (Azure/AWS/GCP) Any certifications in AI/ML, NLP, or GenAI frameworks are a plus

Key Responsibilities: Set up and configure workstations, routers, and basic networking infrastructure. Provide first-line support for hardware and software issues across the firm. Install, configure, and maintain Microsoft 365 services, including Outlook, Teams, SharePoint, and AI-powered features like Copilot in Word, Excel, and Outlook. Assist in the setup and management of SharePoint sites and document libraries. Troubleshoot connectivity, software, and system issues efficiently. Support staff in navigating and configuring various software platforms. Assist in the development and implementation of internal systems and workflows. Assist in automating internal processes using tools like Power Automate or AI-based scripting. Stay current with emerging technologies, including AI tools, and recommend solutions to improve efficiency. Preferred candidate profile: Educational Background: Certificate IV or Diploma in Information Technology, Networking, or a related field. Bachelors degree in Information Technology, Computer Science, or a related discipline (preferred but not essential). Certifications (Highly Regarded): CompTIA A+ (for general IT support knowledge) CompTIA Network+ (for networking fundamentals) Microsoft Certified: Modern Desktop Administrator Associate Microsoft 365 Certified: Fundamentals or Administrator Associate ITIL Foundation Certification (for understanding IT service management) Soft Skills: Strong problem-solving and troubleshooting abilities. Excellent communication and interpersonal skills. Ability to work independently and manage multiple tasks. A proactive and customer-focused approach. Experience: 1-3 years in a similar IT support or helpdesk role. Experience working in a professional services environment (e.g., accounting, legal, consulting) is a plus.

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

Responsibilities: Manage pipeline from lead generation to close Meet revenue targets through effective selling techniques Collaborate with marketing team on campaigns and events Identify and target new business opportunities in AI/IT/SaaS domains. Provident fund

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 : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of natural language processing techniques.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with deploying AI models in production environments. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

Dear Candidate, We are actively hiring for GEN AI position open for PAN India location. Role Summary We are seeking a seasoned Generative AI Technology Architect to lead the design and implementation of enterprise grade Gen AI solutions This role demands deep technical expertise in AIML a strong architectural mindset and the ability to translate business needs into scalable secure and responsible AI systems You will serve as a thought leader mentor and strategic advisor across AI initiatives Key Responsibilities Architect end-to-end Gen AI solutions including LLM based applications RAG pipelines and multimodal systems Define and enforce architectural standards design patterns and best practices for Gen AI systems Lead the evaluation and selection of Gen AI platforms frameworks and infrastructure eg vector DBs orchestration layers model hubs Collaborate with data scientists MLOps engineers and business stakeholders to align AI capabilities with enterprise goals Drive PoCs and pilots to validate Gen AI use cases and scale successful patterns into production Ensure compliance with data privacy security and responsible AI principles Contribute to internal knowledge assets such as reference architectures whitepapers and reusable components Required Skills Proven experience in designing and deploying AIML systems at scale including Gen AI applications Deep understanding of LLMs prompt engineering finetuning and RAG workflows Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face LangChain or LlamaIndex Strong grasp of cloudnative architectures AWS Azure GCP and containerization Docker Kubernetes Experience with MLOps tools MLflow SageMaker Vertex AI etc and CICD for AI pipelines Familiarity with vector databases eg FAISS Pinecone Weaviate and embedding strategies Should have understanding of LLM models like Vision MultiModal etc Strong Experience in Python programming and related frameworks eg Django Flask Extensive experience in building scalable and robust applications using Python Handson Experience to all SDLC Phases Knowledge of cloud platforms eg AWS Azure GCP and their AIML services Experience with database systems eg SQL NoSQL and data modeling Strong problem-solving and analytical skills with the ability to translate business requirements into technical solutions Excellent leadership and team management skills with the ability to motivate and develop a high performing team Strong communication and collaboration skills with the ability to work effectively in cross functional teams Self-motivated and proactive with a passion for learning and staying up to date with emerging technologies and industry trends Preferred Qualifications Bachelors or Masters in Computer Science AI or related field Experience integrating Gen AI into enterprise platforms eg ERP CRM HRMS Exposure to multimodal AI text image audio and agentbased architectures Strong communication and stakeholder management skills Contributions to opensource AI projects or published research If interested, kindly share your resume with below details to Richa.Rane@alphacom.in Full Name: Pan Card No: DOB: Total Experience: Relevant Experience: Current/Last Company: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Reason for job change: Share your passport size photo: Thanks & Regards, Richa Rane Talent Acquisition Richa.Rane@alphacom.in

Front end/Languages- JavaScript + Advance CSS + Jquery & HTML (div based), expertise with good knowledge of handling cross browser compatibility issues Hands on coding experience in building native mobile apps Familiarity w/ best UI design principles Required Candidate profile Creating & maintaining UI prototypes & specifications Should be good at AJAX, Javascript, AngularJS, Flash & creation of mobile & web interface designs, marketing videos Good knowledge of UX AI tools

Job Title: AI Engineer Required Experience :-2 to 5 years Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. Qualifications: Minimum of 2+ years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

3+yrs mandatory into Software Development 1+yrs mandatory exp. with LLMs & AI Frameworks Strong in Python & AI frameworks LLM Orchestration (LangChain) Understanding of Vector Databases

Responsibilities: Design and develop AI/ML models Process large dataset Build Python pipeline or React UIs deploy models as APIs or UI features Collaborate with teams, test models, present results Maintain clear documentation of tools and workflows

Job Description- 5-8 years of strong hands-on experience in software development, with a focus on full stack development and an understanding of AI/ML or GenAI. -Experience on full stack implementation from frontend UI/UX to backend logic and infrastructure. -Design and develop responsive web applications using ReactJS and build robust backend services and APIs using Python. -Proficiency in Python, including experience with data processing, API integration, and automation scripting -Experience in working on Linux OS -Proven expertise in Cloud Infrastructure as Code using AWS CloudFormation, Terraform, or equivalent tooling in Azure/GCP -Deep understanding of Object-Oriented Programming (OOP) principles and applying them in scalable and maintainable system design -Demonstrated experience in end-to-end SDLC (Software Development Life Cycle): requirement gathering, design, development, testing, deployment, and support -Proficient in version control systems like Git and devops aware -Experience with using containerization technologies such as Docker, and orchestration using Kubernetes -Good to have handson experience with one of the following Generative AI concepts: -Working with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc. -Building intelligent systems using LangGraph, Agentic AI frameworks, or similar orchestration tools -Implementing Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge augmentation techniques -Strong problem-solving and debugging skills, with an ability to write clean, efficient, and maintainable code -Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and business teams -Personal GitHub project to prove the experience Must Have Skills: AI Fullstack Developer, Strong Python Scripting, ata processing, API integration, and automation scripting, Fullstack Development, RAG, LLM's, Deep Learning, Cloud Platform (AWS, Azure, GCP), ReactJS/ NodeJS, SDLC Lifecycle, OOP's Concepts. If interested in opportunity, please click on apply to procced further.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About The Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 1+ years of experience in software development, with at least 1+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. Please share your profiles to vishal.seth@capgemini.com, matching profiles will get a call.

Job Descriptio n: Must have experience in AI Enterprises Architecture. Hands on experience in hybrid cloud platforms ( AWS, Azure, GCP). Should have experience in AI Infrastructure Architect, Design, Development, Deployment or Implementation. Expertise in AI and machine learning (ML) technologies with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Good knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Preferable Candidate Profile: Looking for 7+ years of experience in AI Enterprises Architecture/AI Infrastructure Solution Architect preferable from Service Based Company with exposure of multiple industries projects.

Responsibilities: * Develop innovative Marketing and Social Media contents using Adobe Creative Suite & AI techniques * Create Banners for website * Manage End to End social media accounts * Coordinate with Influencers for UGC videos

Role & responsibilities - Integrate Claude/OpenAI APIs for natural language interfaces - Build intelligent conversation management systems - Develop AI-powered business process automation - Create predictive analytics and business insights - Optimize AI model performance and accuracy - Research and implement new AI capabilities Must-Have Skills: - 2-4 years Python development with ML focus - Experience with OpenAI/Claude APIs or similar LLMs - Understanding of NLP concepts and techniques - Experience with ML libraries (scikit-learn, pandas) - Prompt engineering and conversation design - Basic understanding of business processes Nice-to-Have: - Experience with vector databases - LangChain or similar framework experience - Previous AI product development - Understanding of ERP systems Preferred candidate profile - Work on cutting-edge AI applications - Direct impact on product innovation - Learning opportunities in latest AI tech - Conference and training budget

Role & responsibilities - Lead development of AI-powered ERP features on Frappe framework - Integrate Claude/OpenAI APIs for natural language interfaces - Build and customize ERPNext modules for specific business needs - Develop automated workflows and intelligent business processes - Handle complete technical architecture and deployment - Create technical documentation and best practices Preferred candidate profile - 5+ years Python development (Django/Flask preferred) - 2+ years JavaScript (React/Vue.js, Node.js) - 1-2 years Frappe/ERPNext experience (or strong willingness to learn) - Experience with REST APIs and third-party integrations - Basic understanding of AI/ML concepts and API integration - MySQL/PostgreSQL and Redis experience - AWS/GCP deployment experience preferred

Position Name - AI Engineer Client Automation & Agent Development Responsibilities: • Design and deploy AI agents and workflow automations using low-/no-code platforms (Krista, Hatz.ai, UiPath Apps, Zapier, Microsoft Copilot Studio). • Conduct AI readiness workshops, map business processes, and define automation ROI. • Integrate with SaaS tools (Microsoft 365, Slack, CRMs, ERPs, PSA/RMMs) using APIs/webhooks. • Apply LLM techniques (prompt chaining, RAG, tool calling) with secure, scalable design. • Monitor performance, drive adoption, and iterate based on telemetry and feedback. • Ensure SOC 2, HIPAA/PCI/GDPR compliance and partner with Cybersecurity teams. • Maintain documentation, reusable templates, and lead enablement sessions. Client Discovery & Solutioning • Run AI readiness workshops, map current processes, and quantify automation ROI. • Translate business requirements into technical agent designs. Agent & Automation Development • Build and connect conversational and task-oriented agents in Krista, Hatz.AI, or comparable tools. • Integrate with SaaS apps (M365, Slack, PSA/RMM platforms, CRMs, ERPs) via APIs and webhooks. • Implement datagovernance guardrails, prompt engineering best practices, and observability. MLOps & Continuous Improvement • Configure evaluation pipelines, drift monitoring, and automated retraining triggers. • Analyze usage telemetry and feedback; iterate to maximize adoption and business impact. Security & Compliance • Enforce SOC 2 Type II and HIPAA/PCI/DataPrivacy controls across all AI workflows. • Perform threat modeling and collaborate with our Cybersecurity team on secure architectures. Thought Leadership & Enablement • Document reusable patterns, templates, and playbooks. • Mentor internal engineers and present at client webinars, peer groups, and industry events. Skills, Knowledge, and Experience: • 3+ years in AI/ML, RPA, or workflow automation in production settings. • Hands-on with at least one low-code AI platform (Krista, Hatz.ai, UiPath, etc.). • Proficient in Python or JavaScript for API integration and custom middleware. • Strong understanding of LLM pipelines, security guardrails, and data governance. • Excellent English communication skills; consulting and stakeholder engagement. • 4+ hour overlap with U.S. Eastern Time (for remote India-based roles). Preferred Skills and Qualifications: • Experience in MSP, ITSM, or SMB IT environments. • Familiarity with Krista DSL, Hatz.ai Studio, LangChain, or Semantic Kernel. • Past AI deployments in domains like Sales, HR, Marketing, or Finance. • Certifications: Microsoft AI-102, UiPath Developer, CompTIA Data+. Industry: Information Technology / Managed Services Employment Type: Full-Time Benefit: Industry leading Compensation + Performance Bonus +HR Benefits.

Job ID: 199713 Required Travel :Minimal Managerial - No Location: :India- Pune (Amdocs Site) Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like Develop and Implement AI Models o Design, develop, and deploy generative AI models and machine learning algorithms to address various business needs. o Developing and maintaining documentation for prompt generation processes and best practices o Design and deliver cutting-edge AI systems to solve some of our clients most challenging business problems o Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes o Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor) o Utilize best-of-breed practices, tools, and cloud solutions. Performance Optimization o Optimize AI models for performance, scalability, and accuracy. o Continuously improving prompt quality, performance and the overall AI prompt generation process o Analyzing user feedback and data to identify areas for improvement in prompt quality and performance o Optimal performant AI model selection by Evaluation. Research and Innovation o Stay updated with the latest advancements in AI and ML, and apply cutting-edge techniques to improve existing models and create new solutions. o Conducting research on natural language processing and machine learning techniques to enhance prompt generation Collaboration o Collaborating with content, product and data teams to align prompts with company goals and user needs o Collaborating with data scientists and machine learning engineers to develop and improve AI models Documentation and Reporting o Document AI models, processes, and findings, and present them to stakeholders All you need is... and skills Educational Background o Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: o Proficiency in programming languages such as Python/ R/ Java o Proficiency in data management and querying languages ( SQL / Pyspark) o Good understanding in DataOps, ModelOps and DevOps. o Experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, Keras, and Scikit-learn. o Experience using large language models like gemma, llama, anthropic. o Experience using frameworks like Langchain, langgraph, RAG with cloud AI platforms (AWS SageMaker, GCP AI Platform, Azure ML) to architect AI solutions o Experience in deploying LLM based bots on web, integration with MSFT Powerapps. o Experience in containerization of LLM powered apps. o Proven work experience as a Prompt Engineer or similar role. o Strong understanding of generative models (e.g., GANs, VAEs) and deep learning techniques. o Knowledge of natural language processing (NLP) and computer vision. o Handson experience in Agentic AI Framework o Proven Data engineering experience. o More than 3 years of professional experience with cloud technologies (AWS, GCP, Azure) o Relevant training and/or certifications in computer science, AI or a related field o Knowledge of automated testing and monitoring solutions o Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) o Experience in developing agentic AI solutions Communication o Strong verbal and written communication skills o Ability to collaborate effectively with cross-functional teams o Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave! Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Tech Leader Own end-to-end product lifecycle: requirements, development, QA, DevOps Design and drive enterprise-grade architecture on Microsoft Azure, leveraging Azure AI Foundry and Power Platform. .NET, C#, Azure DevOps US, UK, UAE, and India Required Candidate profile experience in Microsoft stack (.NET, C#, Power Platform, Azure DevOps). knowledge of Azure AI services, Azure AI Foundry, and integration managing infrastructure (IaaS/PaaS/SaaS) across global region