Principal Generative AI Engineering Lead - Senior Vice President

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TX
Salary
$156,160–$234,240 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k
This role $195k
$143k $281k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $170,000–$267,500 — the blue band above. At the midpoint, this role pays about $195k versus about $219k 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 269 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 249 roles with salary data.

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At a glance

TL;DR · Principal Generative AI Engineering Lead - Senior Vice President

The USCC Architecture and AI Engineering group is seeking a Principal Generative AI Engineering Lead - Senior Vice President to architect and lead the development of next-generation intelligent systems. This role involves guiding a team of engineers to design, build, and deploy scalable, secure, and well-governed AI solutions from conceptualization to production. Key responsibilities include establishing MLOps best practices, mentoring staff, and translating business needs into technical roadmaps. The position requires expertise in Python, FastAPI, PyTorch, and TensorFlow, alongside experience with LLMs like Gemini, GPT, Claude, and Llama. Candidates must demonstrate proficiency in LangChain, LlamaIndex, LangGraph, and Vector DBs like Pinecone. The work focuses on building production-grade Agentic AI, RAG systems, and complex multi-agent systems within containerized environments like OpenShift.

What you'll do

  • Lead the design and architecture of scalable, secure, and maintainable end-to-end AI systems.
  • Partner with business leaders to identify AI opportunities and translate strategic needs into technical roadmaps.
  • Manage and mentor a team of AI engineers to foster technical excellence and continuous learning.
  • Establish and enforce AI governance frameworks and MLOps best practices for ethical and compliant implementations.
  • Provide hands-on leadership in developing advanced machine learning, deep learning, and Generative AI models.
  • Drive research into emerging AI technologies and lead proof-of-concept initiatives for cutting-edge solutions.
  • Define and lead the MLOps strategy for deploying and monitoring AI applications in containerized environments.

What we're looking for

  • 6+ years of experience in Gen AI application development using LLMs like GPT, Gemini, Claude, and Llama.
  • Proven experience in technical leadership or team management, including mentoring engineers and managing project priorities.
  • Demonstrated ability to design and architect scalable, high-availability, end-to-end AI and machine learning systems.
  • Expert-level programming skills in Python and its core AI/ML ecosystem including NumPy, Pandas, and Scikit-learn.
  • Deep practical experience in MLOps, including Docker, OpenShift/Kubernetes, CI/CD, and production deployment of AI models.
  • Extensive hands-on implementation experience with Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
  • Significant experience collaborating with non-technical business stakeholders to identify opportunities and define AI strategies.
  • Bachelor's degree or equivalent practical experience.

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