Lead Gen AI Engineer - Vice President

Job Overview

Key Responsibilities

• Design generative and agentic AI solutions with architects, leads, stakeholders, and cross-functional teams.
• Architect context engineering, prompt engineering, RAG, knowledge graph, Graph RAG, and multi-agent solutions.
• Build agent harnesses, integrate agents through MCP and A2A, and support scalable production deployment.
• Apply guardrails, governance, privacy, compliance, observability, and agent isolation practices.
• Mentor junior team members, review code, and share advances in generative and agentic AI.

Required Technical Skills

• Required expertise includes foundation models, LLMs, embeddings, tokenization, context windows, prompt engineering, and context orchestration.
• Required experience includes RAG, hybrid search, multi-vector retrieval, knowledge graphs, Graph RAG, and vector databases.
• Required experience includes Google ADK or comparable agent frameworks, multi-agent orchestration, harness engineering, MCP, and A2A.
• Required skills include agent observability and evaluation, GenAI APIs, LangChain, LlamaIndex, NLP, Python, Docker, Kubernetes, and CI/CD.
• Required understanding includes AI compliance, guardrails, responsible AI, data preprocessing, document ingestion, and API development.

Qualifications

• Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field is required.
• The role requires 5–7 years of AI or software development experience with significant Generative AI and agentic AI experience.
• Candidates must have a portfolio of successful AI-driven projects in a business environment.
• Experience with AWS or equivalent cloud infrastructure for AI or Generative AI is required.

Employment

• Citi lists the time type as full time.

Company Context