GEN AI

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your Role As a GenAI Architect, you will be responsible for defining scalable GenAI architectures, building reusable assets and accelerators, and collaborating with business and delivery teams to industrialize AI solutions across multiple domains and customer engagements. Your Profile Mandatory Skills 12+ years of experience in software architecture, AI/ML, or digital engineering with significant exposure to Generative AI solutions. Strong expertise in designing and implementing GenAI architectures and AI solution platforms. Hands-on experience with Agentic AI frameworks and intelligent workflow orchestration. Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation patterns. Experience with vector databases and LLM integration workflows. Expertise in integrating AI services into enterprise and embedded products. Strong experience in microservices architecture and distributed systems design. Proficiency in Python, Rust, or .NET development. Experience with API management, enterprise integration patterns, data flows, and compliance architectures. Expertise in cloud platforms including Azure and AWS. Strong hands-on experience with orchestration frameworks such as: LangChain Semantic Kernel LlamaIndex Similar AI orchestration frameworks Experience implementing observability, monitoring, and governance for AI applications. Strong understanding of NLP and Large Language Models including: OpenAI Azure OpenAI Amazon Bedrock Claude Other Foundation Models Preferred Skills Experience with AI agents, multi-agent systems, and autonomous workflows. Familiarity with model fine-tuning, prompt engineering, and model evaluation techniques. Knowledge of MLOps, LLMOps, and AI lifecycle management. Experience with Kubernetes, Docker, CI/CD pipelines, and cloud-native architectures. Exposure to Responsible AI, AI governance, and regulatory compliance frameworks. Experience working with enterprise AI transformation programs. Soft Skills Strong leadership and solution architecture capabilities. Excellent stakeholder management and customer-facing skills. Strong communication and presentation skills. Ability to influence technical and business decision-making. Proactive and innovation-driven mindset. Strong collaboration skills across cross-functional and global teams. Ability to work in fast-paced, evolving technology environments. In this role, you will: Architect scalable, secure, and modular Generative AI solutions across enterprise and embedded ecosystems. Design and develop reusable AI assets, accelerators, and proof-of-concepts (POCs) that can be industrialized for project deployments. Define technology roadmaps and identify emerging AI tools, frameworks, and platform capabilities. Collaborate closely with business, delivery, and engineering teams to translate business requirements into AI-driven solutions. Design and implement Agentic AI architectures leveraging autonomous workflows and orchestration frameworks. Support prompt orchestration, model integration, fine-tuning, observability, evaluation, and toolchain automation. Develop and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources. Architect microservices-based AI platforms and integrations across cloud and enterprise systems. Collaborate with data scientists and AI engineers to operationalize machine learning and Generative AI models. Establish governance, compliance, security, and monitoring frameworks for AI deployments. Drive innovation by evaluating emerging LLMs, foundation models, and AI service offerings. About Capgemini in India Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli.Make it real | www.capgemini.com/in-en . 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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.