Lead Gen AI Engineer - Vice President
Citi (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 30–55 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and architect advanced generative and agentic AI solutions integrated into enterprise Controls Technology platform.
- Develop and optimize context engineering strategies, retrieval-augmented generation (RAG) systems, knowledge graphs, and multi-agent orchestration for scalable, reliable AI applications.
- Ensure robust production deployment with governance, observability, compliance, and mentor junior developers in AI best practices.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 5–7 years of experience in AI/software development, including significant experience in Generative AI and agentic AI.
- Hands-on expertise with generative AI concepts, prompt/context engineering, RAG systems, knowledge graphs, and multi-agent AI frameworks.
- Experience with cloud infrastructure (AWS or equivalent), containerization (Docker), orchestration (Kubernetes), and CI/CD for AI applications.
Ideal Candidate Profile
- Experienced in architecting and deploying advanced generative and agentic AI solutions at enterprise scale with a focus on context and retrieval systems.
- Proficient in integrating multi-agent workflows using frameworks like Google ADK and skilled in governance, agent orchestration, and interoperability protocols (MCP, A2A).
- Comfortable working in cross-functional teams with a strong technical mentoring role and responsibility for production-grade AI system compliance and observability.