Senior Agentic AI Engineer - Vice President
Citi (company site, opens in a new tab)12+ yrsPune, ChennaiHybridDirect career pageEst. 45–85 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Drive the design and integration of generative and agentic AI solutions across an enterprise Controls Technology platform, focusing on architecting scalable and grounded AI applications and multi-agent systems.
- Develop and optimize advanced context engineering, retrieval-augmented generation (RAG) systems, knowledge graphs, and multi-agent orchestration using frameworks like Google ADK.
- Ensure production readiness by managing deployment scalability, observability, maintenance, and responsible AI compliance, while mentoring junior engineers and fostering technical excellence.
Minimum Requirements
- 12+ years total experience with 5–7 years specifically in AI/software development including generative and agentic AI.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
- Proven experience with building agentic AI systems using Google ADK or similar frameworks and with RAG systems, knowledge graphs, and multi-agent orchestration patterns.
- Experience with cloud infrastructure such as AWS, containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI applications.
Ideal Candidate Profile
- Deep technical expertise in generative AI concepts, context engineering, prompt engineering, and retrieval systems with practical experience deploying production AI systems.
- Skilled in designing and orchestrating multi-agent systems, agent harnesses, and interoperability protocols (MCP, A2A) in complex enterprise environments.
- Experienced in mentoring, cross-functional collaboration, and maintaining AI compliance, governance, and ethical guardrails in scalable AI implementations.