Senior AI Research Scientist – Foundation Models, Agentic AI

Wells Fargo

. Perform complex AI, Generative AI, Agentic AI, and Machine Learning research projects from ideation through experimentation, implementation, evaluation, and documentation .

Posted 10/14/2026full-timeUnited StatesSenior💰 $139,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and Machine Learning research, with a strong focus on Foundation Models, Generative AI, and Agentic AI. Proven ability to translate complex research into practical business solutions and contribute to the AI research community through publications and collaborations.

Highest-signal resume keywords

Quantitative Analytics ExperiencePhD In Computer ScienceExpertise In Foundation ModelsHands-On Experience With GPU InfrastructureProven Research Track Record

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIFoundation ModelsLarge Language ModelsAgentic AIQuantitative AnalysisStatistical ModelingData EvaluationResearch MethodologyScalable System Design

Soft Skills

CollaborationCommunicationProblem-SolvingCreativityAdaptability

Tools & Technologies

TensorFlowPyTorchHugging FaceAWSGCPGitHub CopilotTransformer ArchitectureVersion ControlAgentic Coding WorkflowsAI Coding Copilots

Industry Keywords

AI ResearchMachine Learning ConferencesTop-Tier PublicationsEmerging AI TechnologiesApplied Research

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Perform complex AI, Generative AI, Agentic AI, and Machine Learning research projects from ideation through experimentation, implementation, evaluation, and documentation
Support exploration, application, and rigorous evaluation of emerging AI technologies
Build and evaluate foundation models and agentic AI systems operating on structured and unstructured data
Collaborate with researchers, data scientists, applied engineers, and domain experts
Translate research insights into business solutions, open-source contributions, patents, and publications
Enhance Wells Fargo products, services, and operations through AI systems
Publish in top-tier AI/ML conferences and journals
Represent Wells Fargo in the broader AI research community

Requirements

What you’ll need

4+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or 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 or industry experience
Proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP
Expertise in Foundation Models, Large Language Models, Large Reasoning Models, Multimodal Models, or Agentic AI
Ability to apply GenAI / Agentic AI across design, implementation, testing, and iteration
Experience leveraging AI coding copilots such as GitHub Copilot and agentic coding workflows
Hands-on experience with GPU infrastructure, Transformer architecture, TensorFlow, PyTorch, Hugging Face, AWS, and GCP
Strong engineering background, including version control, code reviews, and scalable system design
Experience transferring foundation models, LLMs, and agentic AI systems into production
Willingness to work onsite at a stated job posting location
Eligible to work with VISA sponsorship

Benefits

Comp & perks

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