GenAI Tech Lead Senior Vice President

Citi

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tampa, FLIrving, TX
Salary
$141,440–$212,160 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $177k
$130k most similar roles pay here $251k

This role pays less than 67% of similar roles. Most pay $165,037–$239,375 — the shaded band above. At the midpoint, this role pays about $177k versus about $202k for comparable roles.

Based on 238 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · GenAI Tech Lead Senior Vice President

GenAI Tech Lead- Senior Vice President leads the execution and deployment of generative and agentic AI solutions across an enterprise-wide Controls Technology platform. 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 position focuses on building robust systems using pre-trained foundation models rather than training new ones. Key technical requirements include expertise in context engineering, RAG techniques, knowledge graphs, and multi-agent orchestration using tools like LangGraph, CrewAI, LlamaIndex, and Google ADK. Candidates must be proficient in Python, SQL, Docker, Kubernetes, and AWS infrastructure while applying LLMOps practices. The role addresses the challenge of creating scalable, secure agentic workflows and automated systems to enhance operational efficiency within a complex corporate technology ecosystem.

What you'll do

  • Execute the delivery roadmap for generative and agentic AI projects from ideation through post-launch support.
  • Architect and deploy production-ready GenAI applications using pre-trained foundation models, context engineering, and RAG techniques.
  • Design and implement multi-agent systems including orchestration patterns, agent harnesses, and interoperability protocols.
  • Build, mentor, and manage a high-performing team of AI engineers and specialists.
  • Serve as the primary point of contact for stakeholders to manage expectations and communicate project progress.
  • Collaborate with cross-functional teams like Data Mesh and MLOps to integrate AI solutions into the existing ecosystem.
  • Implement robust governance, ethical AI frameworks, and guardrails to ensure compliance and data privacy.
  • Drive the adoption of best practices in LLMOps, CI/CD, and agent observability for scalable delivery.

What we're looking for

  • Bachelor's or Master's degree in computer science, Data Science, AI, or a related field.
  • 6+ years of experience in AI/ML with at least 3 years specifically in Generative AI and agentic AI.
  • Extensive hands-on experience with AWS services and infrastructure for AI/GenAI applications.
  • Proven track record of delivering production-ready GenAI solutions, including context engineering, RAG, and knowledge graphs.
  • Experience developing agentic systems using frameworks like LangGraph, CrewAI, or Google Agent Development Kit (ADK).
  • Proficiency in LLMOps, containerization (Docker), Kubernetes, CI/CD pipelines, and advanced NLP techniques.
  • Expertise in managing the full project lifecycle using Agile/Scrum methodologies and coordinating with cross-functional teams.
  • Experience implementing AI governance, ethical frameworks, and guardrails to ensure compliance and safety.

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