Senior Agentic AI Engineer — Enterprise-Scale Leader

Citi

Tampa (FL)

On-site

USD 114,000 - 171,000

Full time

3 days ago
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Job summary

Citi in Tampa, FL seeks a Senior AI Engineer specializing in generative and agentic AI to architect, govern, and deploy AI systems at enterprise scale. You will partner with AI architects, engineers, and business stakeholders to deliver agentic AI solutions that improve automation and operational efficiency across Citi’s global platforms.

The role emphasizes context engineering, RAG pipelines, knowledge graphs, and multi-agent orchestration, with a focus on safe, compliant deployment within a

Qualifications

  • 5–7 years of experience in AI/software development.
  • Experience with AWS cloud infrastructure for AI/GenAI.

Responsibilities

  • Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.
  • Architect advanced context engineering strategies to maximize reliability, provenance, and token efficiency in production.
  • Design and implement advanced generative AI methods including prompt engineering and Retrieval-Augmented Generation (RAG).
  • Build and optimize RAG systems with hybrid search and multi-vector retrieval.
  • Design knowledge graphs and Graph RAG architectures for multi-hop reasoning and grounding.

Skills

Generative AI
Agentic AI
Python
NLP
AWS
Context engineering
RAG
Knowledge graphs
Multi-agent orchestration
OpenAI APIs

Education

Bachelor's or master's degree in Computer Science / AI

Tools

Docker
Kubernetes
LangChain
LlamaIndex
Neo4j
OpenAI APIs

Job description

Citi in Tampa, FL seeks a Senior AI Engineer specializing in generative and agentic AI to architect, govern, and deploy AI systems at enterprise scale. You will partner with AI architects, engineers, and business stakeholders to deliver agentic AI solutions that improve automation and operational efficiency across Citi’s global platforms.

The role emphasizes context engineering, RAG pipelines, knowledge graphs, and multi-agent orchestration, with a focus on safe, compliant deployment within a

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