Agentic AI

Your Role

• Define and drive enterprise AI architecture strategies including RAG systems, multi-agent platforms, LLM pipelines, and AI orchestration frameworks.
• Architect scalable MLOps and LLMOps ecosystems covering model deployment, monitoring, governance, observability, and optimization.
• Lead the design and implementation of agentic AI solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, and Semantic Kernel.
• Establish Responsible AI and enterprise AI governance standards covering security, compliance, explainability, privacy, and risk mitigation.
• Collaborate with engineering, platform, and business teams to deliver production-grade AI solutions at enterprise scale.

Your Profile

• 12+ years of experience in software engineering, AI/ML, or data science with strong expertise in enterprise AI architecture and Generative AI solutions.
• Hands-on experience with foundation models such as GPT, Claude, Gemini, Llama, Mistral, and enterprise AI platforms.
• Strong proficiency in Python along with exposure to distributed systems, cloud-native AI infrastructure, and performance optimization technologies.
• Expertise in Prompt Engineering, RAG architectures, vector databases, semantic search, AI security, and scalable inference systems.
• Excellent leadership, stakeholder management, communication, and enterprise solutioning capabilities.

What you’ll love about working here

• We offer a range of career paths and internal opportunities within Capgemini group.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
• At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.