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# Senior Lead AI Research Scientist - Foundation Models & Agentic AI

- **Company:** Wells Fargo
- **Location:** St. Louis, MO, United States
- **Experience:** Expert
- **Salary:** $185,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Collaborative Software, Machine Learning, Tensorflow, Google Cloud, GitHub Copilot, Pytorch, Large Language Models, Generative AI, Agentic-AI, Information Technology, HuggingFace, Free and Open-Source Software, Hardware Infrastructure, Claude, GPT, Software Version Control
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c214c1bebd8e90f2

## About the Role

* 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
 * Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science, * PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models.
 * Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
 * Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
 * Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
 * Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
 * Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
 * Experience with transferring foundation models, LLMs, and agentic AI systems in production

## Description

* Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
 * Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
 * Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
 * Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
 * Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
 * Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
 * Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.