Experience:

• 12+ years of experience in software architecture, AI/ML, or digital engineering with significant exposure to Generative AI solutions
• Strong experience in microservices architecture and distributed systems design
• Strong hands-on experience with orchestration frameworks such as LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks
• Expertise in cloud platforms including Azure and AWS

Responsibilities:

• Define scalable, secure, and modular Generative AI solutions across enterprise and embedded ecosystems
• Build reusable AI assets, accelerators, and proof-of-concepts that can be industrialized for project deployments
• Define technology roadmaps and identify emerging AI tools, frameworks, and platform capabilities
• Collaborate with business, delivery, and engineering teams to translate requirements into AI-driven solutions
• Design and implement Agentic AI architectures using autonomous workflows and orchestration frameworks
• Support prompt orchestration, model integration, fine-tuning, observability, evaluation, and toolchain automation
• Develop and optimize Retrieval-Augmented Generation 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

Nice to have:

• 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

More skills:

GenAI architectures, AI solution platforms, Agentic AI frameworks, intelligent workflow orchestration, Retrieval-Augmented Generation (RAG), LLM integration workflows, enterprise integration, embedded products, microservices architecture, distributed systems design, Python, Rust, .NET, API management, enterprise integration patterns, data flows, compliance architectures, Azure, AWS, Semantic Kernel, observability, monitoring, governance, NLP, Amazon Bedrock, foundation models, multi-agent systems, autonomous workflows, model fine-tuning, model evaluation, MLOps, Kubernetes, Docker, CI/CD pipelines, cloud-native architectures, Responsible AI, AI governance, regulatory compliance, enterprise AI transformation programs

Other:

• Soft skills required: 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 across cross-functional and global teams, ability to work in fast-paced and evolving technology environments
• Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and 420,000 team members in more than 50 countries
• Capgemini in India has nearly 235,000 team members across 13 locations
• The Group reported 2024 global revenues of €22.1 billion