Lead Gen AI Engineer - Vice President
Citi (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 30–50 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect and implement generative and agentic AI solutions focusing on advanced context engineering, retrieval-augmented generation, knowledge graphs, and multi-agent orchestration.
- Lead design and deployment of scalable, production-ready AI/agentic applications ensuring compliance, observability, and robust governance.
- Mentor junior developers and collaborate cross-functionally to deliver grounded AI solutions for operational efficiency improvement.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Data Science, AI, or related field.
- 5–7 years of AI/software development experience including Generative AI and agentic AI.
- Strong hands-on expertise with foundation models, LLMs, RAG systems, knowledge graphs, multi-agent frameworks (Google ADK, LangGraph, etc.), and relevant protocols (MCP, A2A).
- Experience with cloud infrastructure (AWS or equivalent), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Ideal Candidate Profile
- Deep technical expertise in architecting production-grade generative AI and multi-agent systems using advanced context engineering and orchestration patterns.
- Proven ability to design and integrate complex AI workflows with compliance and operational reliability in large-scale enterprise environments.
- Experience mentoring teams and working collaboratively with stakeholders to align AI solutions with business needs.