GenAI & Agentic AI Delivery Leader

Citi; Tampa (FL); Hybrid; USD 141,000 - 212,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Benefits package

Professional development

Job summary

Citi in Tampa, FL is seeking a senior GenAI leader to architect and deliver enterprise-grade generative AI and agentic solutions. You will translate AI strategy into production-ready capabilities, lead a cross-functional team of engineers, and ensure scalable, secure deployments aligned with business goals.

The role emphasizes Hub-scale GenAI platforms, MLOps, CI/CD, governance, and ethical AI practices, with strong collaboration across data, cloud, and business units.

Qualifications

• 6+ years of AI/ML experience, with at least 3 years in Generative AI.
• Experience delivering production GenAI and agentic AI solutions.
• Strong AWS cloud experience for AI/GenAI.
• Portfolio of AI solutions deployed in production.

Responsibilities

• Lead GenAI delivery roadmap and project lifecycle.
• Mentor AI engineers and cross-functional teams.
• Oversee design, development, and deployment of GenAI apps.
• Drive agentic workflows and multi-agent systems.
• Manage stakeholders and ensure on-time delivery.

Skills

Foundation models

Context engineering

Prompt engineering

RAG techniques

Knowledge graphs

Agent orchestration

Graph RAG

MCP protocol

A2A protocol

AWS cloud

NLP

CI/CD pipelines

GenAI APIs

Education

Bachelor's or Master’s degree in CS/DS/AI

Tools

Neo4j

ArangoDB

LangGraph

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

CrewAI

Git

Job description

Citi in Tampa, FL is seeking a senior GenAI leader to architect and deliver enterprise-grade generative AI and agentic solutions. You will translate AI strategy into production-ready capabilities, lead a cross-functional team of engineers, and ensure scalable, secure deployments aligned with business goals.

The role emphasizes Hub-scale GenAI platforms, MLOps, CI/CD, governance, and ethical AI practices, with strong collaboration across data, cloud, and business units.