About the client: A leading insurance company is building out its Enterprise AI & Decision Intelligence function and is hiring an Agentic AI Lead to design and deliver enterprise-grade AI agents and multi-agent systems.

Location: Gurugram (work from office, 5 days a week)

Experience: 8–12 years (Senior Manager level)

Notice period: Immediate to 60 days preferred The role

You will design, build and operationalise reliable, scalable, secure and cost-efficient Agentic AI solutions that automate complex business workflows and integrate seamlessly with enterprise platforms.

Key responsibilities

- Design and develop autonomous and multi-agent AI workflows for enterprise use cases – agent responsibilities, tool usage, orchestration logic and inter-agent communication
- Build AI agents capable of reasoning, planning, task execution and workflow automation
- Design, test and optimise prompts, system instructions and reusable prompt templates; improve grounding, accuracy and hallucination control
- Implement fallback logic, retries, escalation and human-in-the-loop workflows
- Design and implement RAG architectures and agent memory (short-term, long-term, vector and contextual); optimise embeddings, chunking and semantic search
- Integrate Azure OpenAI and other LLM platforms with enterprise systems, APIs and business applications (CRM, policy systems, workflow engines, knowledge repositories)
- Optimise latency, throughput,



token usage and inference cost
- Define guardrails for responsible AI, security, compliance and data privacy; implement observability, logging, evaluation frameworks and monitoring
- Use AI-assisted development tools (GitHub Copilot, Cursor, Claude) to raise engineering productivity while maintaining quality
- Contribute to reusable AI engineering frameworks, accelerators and enterprise AI platforms

What we are looking for

- 8–12 years in Software Engineering, AI Engineering or Intelligent Automation
- Hands-on experience delivering GenAI / Agentic AI solutions into production in enterprise environments
- Strong expertise in LLMs and orchestration frameworks – Azure OpenAI, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel or similar
- Strong understanding of RAG pipelines, vector databases, embeddings and semantic search
- Experience with prompt engineering, evaluation frameworks and AI guardrails
- Robust Python, FastAPI, REST API and backend engineering skills; cloud-native and microservices architecture
- Understanding of AI observability, token optimisation and inference cost management
- Knowledge of enterprise security, AI governance and responsible AI practices
- Insurance, Banking or Fintech (BFSI) experience is a strong plus

Interested candidates may apply here or share their profile. All applications will be treated in strict confidence.

📌 Agentic AI Lead - GenAI / LLM | Insurance / BFSI | Gurugram
🏢 Talent Toppers
📍 Gurugram