Senior Lead AI Research Scientist – Foundation Models & Agentic AI

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCMinneapolis, MNIrving, TXWest Des Moines, IASaint Louis, MOTempe, AZSan Francisco, CA
Salary
$185,000–$300,000 / yr
Posted
2 days ago
Closes
Jun 29, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k
This role $242k
$171k most similar roles pay here $314k

This role pays more than 60% of similar roles. Most pay $188,262–$248,375 — the shaded band above. At the midpoint, this role pays about $242k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 89 open roles on FindRole.

Listed pay typically runs $149,009–$224,000 across 48 roles with salary data.

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View all roles at Wells Fargo

At a glance

TL;DR · Senior Lead AI Research Scientist – Foundation Models & Agentic AI

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Wells Fargo’s Model Risk Management team is hiring a Senior Lead Quantitative Analytics Specialist to lead advanced AI initiatives, focusing on the development and evaluation of next-generation Foundation Models and Agentic AI systems. This role involves leading end-to-end research projects from ideation through deployment, collaborating with interdisciplinary teams to build robust and scalable solutions that enhance Wells Fargo’s financial products and services for millions of customers. The ideal candidate will have a PhD or extensive industry experience in fields like Computer Science or Artificial Intelligence, with expertise in Foundation Models, Large Language Models, and Agentic AI, as well as hands-on experience with tools such as PyTorch, TensorFlow, Hugging Face, AWS, and GCP. Additionally, the role requires strong engineering skills and a proven track record of translating research into impactful business solutions and publications in top-tier conferences.

Skills

Python PyTorch TensorFlow Hugging Face AWS GCP Foundation Models Large Language Models Agentic AI Transformer architecture CI/CD GPU infrastructure Version control Code reviews Scalable system design GitHub Copilot MLOps Prometheus Kubernetes

What you'll do

  • Lead end-to-end research projects in Agentic AI from ideation to deployment.
  • Build next-generation foundation models trained on large, heterogeneous datasets.
  • Evaluate emerging AI technologies for real-world financial applications.
  • Translate research insights into impactful business solutions and publications.
  • Deploy advanced AI systems like LLMs and agentic AI into production environments.

What we're looking for

  • PhD in Computer Science, AI, or related field with a strong research track record.
  • Expertise in foundation models (GPT-4, BERT, LLaMA) and large language models.
  • Experience leading end-to-end development of advanced AI systems from ideation to deployment.
  • Proficiency in modern AI/ML frameworks like PyTorch, TensorFlow, Hugging Face, AWS, GCP.
  • Strong publication history in top-tier AI/ML conferences and journals.
  • Demonstrated ability to translate research into impactful business solutions for millions of customers.
  • Hands-on experience with GPU infrastructure and agentic AI build lifecycle.

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More Senior Lead AI Research Scientist jobs Senior Lead AI Research Scientist jobs in Charlotte All jobs at Wells Fargo

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