Lead Agentic AI Engineer: Context & RAG Architect

Citi; Tampa (FL); On-site; USD 126,000 - 189,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident & disability insurance

Wellness programs

Paid time off

Job summary

Citi is seeking an experienced Lead Agentic AI Engineer to drive design, development, and integration of state-of-the-art generative and agentic AI across our Controls Technology platform. You will work with cross-functional teams on context engineering, knowledge graphs, and multi-agent orchestration to deliver scalable, grounded AI solutions.

Role emphasizes architecture of agent systems atop foundation models, not model training, with emphasis on reliability, governance, and ethical AI

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 5–7 years of AI/software development experience with Generative/agentic AI.
• Experience with AWS or equivalent cloud infrastructure for AI/GenAI.
• Portfolio of AI-driven projects in a business environment.

Responsibilities

• Collaborate with AI architects to design generative and agentic AI solutions.
• Architect context-engineering strategies for reliability, provenance, and token efficiency.
• Design and implement prompt engineering and RAG methods.
• Build and optimize RAG systems, including multi-vector retrieval and re-ranking.
• Create knowledge graphs and Graph RAG pipelines for multi-hop retrieval.
• Design agentic workflows and multi-agent systems using ADK and similar frameworks.
• Develop agent harnesses with governance, feedback loops, and isolation controls.
• Integrate agents with tools/data via MCP and A2A protocols.
• Ensure production rollout, observability, and maintainability of GenAI/agentic apps.

Skills

Foundation models

LLMs

Prompt engineering

Context engineering

RAG systems

Knowledge graphs

Graph RAG

Google ADK

Agent orchestration

MCP

A2A protocol

OpenAI/GenAI APIs

LangChain/LlamaIndex

Python

NLP

Docker

Kubernetes

CI/CD for AI

Education

Bachelor’s or Master’s in CS/AI

Tools

Neo4j

ArangoDB

LangGraph

CrewAI

Google ADK

OpenAI Agents SDK

Job description

Citi is seeking an experienced Lead Agentic AI Engineer to drive design, development, and integration of state-of-the-art generative and agentic AI across our Controls Technology platform. You will work with cross-functional teams on context engineering, knowledge graphs, and multi-agent orchestration to deliver scalable, grounded AI solutions.

Role emphasizes architecture of agent systems atop foundation models, not model training, with emphasis on reliability, governance, and ethical AI