AI Research Scientist, Foundation Models – Agentic AI

Wells Fargo

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

Posted 10/28/2026full-timeUnited StatesJuniorMid-Level💰 $100,000 - $196,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 top-tier AI/ML publications.

Highest-signal resume keywords

Quantitative Analytics ExperiencePhD In Computer ScienceExpertise In Foundation ModelsHands-On Experience With TensorFlowExperience With GPU Infrastructure

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningGenerative AIFoundation ModelsLarge Language ModelsAgentic AIStatistical AnalysisData EvaluationSystem DesignResearch PublicationAI Coding Workflows

Soft Skills

CollaborationCommunicationProblem-SolvingAdaptabilityCritical Thinking

Tools & Technologies

TensorFlowPyTorchHugging FaceAWSGCPGitHub CopilotGPU InfrastructureTransformer Architecture

Industry Keywords

AI ResearchMachine Learning ConferencesQuantitative DisciplineApplied ResearchOpen-Source Contributions

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

2+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education
Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a quantitative discipline
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 one or more specialized areas including 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 the stated location
Eligible for 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