Senior Agentic AI Engineer - GenAI & Orchestration

Citigroup Inc.

Irving (TX)

On-site

USD 126,000 - 189,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, vision
401(k)
Paid time off

Job summary

Citigroup Inc. seeks a Lead Agentic AI Engineer to drive design, development, and integration of Generative AI solutions across the Controls Technology platform.

You will orchestrate context engineering, RAG, and graph-based retrieval with multi-agent workflows in production environments. The role requires deep expertise in LLMs, embeddings, and safety, plus strong collaboration across teams and mentoring of juniors.

Qualifications

  • Bachelor's or master's degree in Computer Science, Data Science, AI, or related field.
  • 5–7 years of AI/software development experience focused on Generative and agentic AI.
  • Portfolio of AI-driven projects in business environments.
  • Experience with AWS cloud infrastructure for AI applications.

Responsibilities

  • Collaborate to design and implement generative and agentic AI solutions for business challenges.
  • Architect context engineering strategies, memory management, and token efficiency for production.
  • Design RAG systems with hybrid search, multi-vector retrieval, and re-ranking pipelines.
  • Build knowledge graphs and Graph RAG pipelines for multi-hop reasoning and explainability.
  • Design agent workflows and multi-agent systems using ADK and related frameworks.
  • Ensure governance, sandboxing, and robust observability in production agents.

Skills

Foundation models
LLMs
Context engineering
RAG systems

Education

Bachelor's or master's in CS/AI

Tools

Google ADK
LangGraph
CrewAI
OpenAI Agents SDK

Job description

Citigroup Inc. seeks a Lead Agentic AI Engineer to drive design, development, and integration of Generative AI solutions across the Controls Technology platform.

You will orchestrate context engineering, RAG, and graph-based retrieval with multi-agent workflows in production environments. The role requires deep expertise in LLMs, embeddings, and safety, plus strong collaboration across teams and mentoring of juniors.

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