Senior AI Research Scientist - Foundation Models Agentic AI

Role overview

Responsibilities

• check_circle Perform highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation.
• check_circle Support building the next generation of foundation models and agentic AI systems - exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
• check_circle Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
• check_circle Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
• check_circle Contribute to 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.
• check_circle Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.

Basic qualifications

• 4+ 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

Preferred qualifications

• PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience.
• 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

Benefits

• check_circle Health benefits
• check_circle 401(k) Plan
• check_circle Paid time off
• check_circle Disability benefits
• check_circle Life insurance, critical illness insurance, and accident insurance
• check_circle Parental leave
• check_circle Critical caregiving leave
• check_circle Discounts and savings
• check_circle Commuter benefits
• check_circle Tuition reimbursement
• check_circle Scholarships for dependent children
• check_circle Adoption reimbursement