Principal Generative AI Developer and Lead, SVP

Citi

Remote

Quick summary

Work type
Remote
Location
Jacksonville, Florida
Salary
$153,600–$230,400 / yr
Posted
51 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $192k
$141k most similar roles pay here $274k

This role pays less than 70% of similar roles. Most pay $176,712–$246,150 — the shaded band above. At the midpoint, this role pays about $192k versus about $211k 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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Principal Generative AI Developer and Lead, SVP

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The USCC Architecture and AI Engineering group is hiring a Senior Generative AI/AI Developer and Lead to drive the development of next-generation intelligent systems. This technical leadership role involves architecting scalable and secure AI solutions, collaborating with business stakeholders to define project roadmaps, and mentoring a team of engineers. The ideal candidate will have expertise in Python, machine learning frameworks like PyTorch and TensorFlow, and MLOps practices including Docker and Kubernetes for containerized deployments. They should also be proficient in LLMs such as OpenAI’s GPT series and Gemini, along with advanced data handling techniques using PostgreSQL and vector databases. The role requires a strategic thinker who can bridge the gap between business needs and technical implementation while ensuring ethical AI governance across the organization.

Skills

Python Docker Kubernetes OpenShift FastAPI PostgreSQL Pinecone Chroma PyTorch TensorFlow LangChain Hugging Face NumPy Pandas Scikit-learn CI/CD MLOps Prometheus Grafana LLMs Gemini OpenAI LangGraph

What you'll do

  • Lead the design and architecture of scalable, end-to-end AI systems.
  • Define project roadmaps by collaborating with business leaders on AI opportunities.
  • Mentor a team of AI engineers to foster innovation and technical excellence.
  • Establish and enforce governance frameworks for ethical AI implementations.
  • Drive MLOps strategy for robust deployment and lifecycle management of AI apps.

What we're looking for

  • Proven experience in technical leadership and team management.
  • Expertise in designing scalable, high-availability AI systems.
  • Strong collaboration skills with business stakeholders for strategic AI initiatives.
  • Deep hands-on experience with Machine Learning, Deep Learning, and Generative AI.
  • Advanced proficiency in Python and core AI/ML ecosystem tools.
  • Practical experience in MLOps, including containerization and orchestration.

Related searches

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