Lead Gen AI Engineer - Vice President
Citi (company site, opens in a new tab)5–7 yrsPuneHybridDirect career pageEst. 30–45 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable generative and agentic AI solutions integrated into enterprise Controls Technology platforms.
- Architect advanced context engineering, Retrieval-Augmented Generation (RAG), knowledge graph, and multi-agent orchestration systems ensuring reliability, provenance, and operational efficiency.
- Lead integration, deployment, observability, and compliance of AI/agentic systems in production environments while mentoring junior developers.
Minimum Requirements
- 5–7 years of professional experience in AI or software development with significant generative and agentic AI expertise.
- Bachelor's or master's degree in Computer Science, Data Science, AI, or related field.
- Hands-on experience with generative AI concepts, prompt/context engineering, RAG systems, knowledge graphs, and multi-agent AI frameworks (Google ADK, LangGraph, etc.).
- Proficiency in Python, containerization (Docker), orchestration (Kubernetes), cloud platforms (AWS or equivalent), and AI compliance/governance practices.
Ideal Candidate Profile
- Experienced in architecting and deploying production-grade generative and agentic AI solutions in enterprise settings with cross-functional teams.
- Strong technical leadership capability demonstrated via mentoring and delivering AI-driven business projects.
- Proficient in advanced AI system design including multi-agent orchestration, knowledge graph pipelines, and stateful agent harnesses for scalable, safe AI operations.