Senior Lead GenAI Tech

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tampa, FLIrving, TX
Salary
$141,440–$212,160 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $177k
$130k most similar roles pay here $248k

This role pays less than 65% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $177k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 271 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 255 roles with salary data.

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At a glance

TL;DR · Senior Lead GenAI Tech

The GenAI Tech Senior Lead joins the Controls Technology platform team to lead the execution and deployment of generative and agentic AI solutions. This role involves translating high-level strategy into production-ready capabilities, managing the full project lifecycle from ideation to post-launch support, and mentoring a team of AI engineers. The successful candidate will build robust systems using pre-trained foundation models, focusing on context engineering, RAG techniques, knowledge graphs, and multi-agent orchestration. Key technologies include LangGraph, CrewAI, LlamaIndex, Hugging Face, and Google ADK, alongside AWS infrastructure, Docker, Kubernetes, and CI/CD pipelines. The role addresses the challenge of integrating agentic workflows into an enterprise ecosystem while ensuring safety through guardrails and ethical frameworks. Core competencies include advanced NLP, prompt engineering, and managing complex technical projects within Agile environments to enhance operational efficiencies.

What you'll do

  • Execute the delivery roadmap for generative and agentic AI projects from ideation through post-launch support.
  • Build, mentor, and manage a high-performing team of AI engineers and specialists.
  • Architect and deploy production-ready GenAI applications using pre-trained foundation models and advanced context engineering.
  • Design and deliver multi-agent systems including orchestration patterns, agent harnesses, and interoperability protocols.
  • Serve as the primary point of contact for stakeholders to manage project risks and ensure on-time delivery.
  • Integrate GenAI solutions into the existing technology ecosystem by partnering with Data Mesh, Cloud Architecture, and MLOps teams.
  • Establish technical standards for LLMOps, CI/CD pipelines, and agent observability across the platform.
  • Implement robust governance frameworks, including guardrails and sandboxing, to ensure ethical AI and data privacy compliance.

What we're looking for

  • Bachelor's or Master's degree in computer science, Data Science, AI, or a related field.
  • 10+ years of overall experience.
  • 6+ years of experience in AI/ML, including at least 3 years specifically in Generative AI and agentic AI.
  • Extensive hands-on experience with AWS services and infrastructure for AI/GenAI.
  • Proven track record of delivering AI solutions into a production business environment.
  • Expertise in advanced context engineering, RAG techniques, knowledge graphs, and multi-agent orchestration.
  • Proficiency in LLM tools such as LangGraph, Autogen, CrewAI, LangChain, LlamaIndex, and Hugging Face.
  • Experience with containerization (Docker), Kubernetes, CI/CD pipelines, and LLMOps practices.

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