Senior Lead AI Research Scientist – Foundation Models, Agentic AI

Wells Fargo

. Lead end-to-end research projects in Agentic AI, AI, Generative AI, and Machine Learning from ideation through documentation .

Posted 10/30/2026full-timeUnited StatesSenior💰 $185,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading research projects in Agentic AI and Machine Learning, with a strong focus on building and deploying foundation models and large language models. Proven ability to translate research insights into practical business solutions while ensuring compliance and risk management.

Highest-signal resume keywords

Quantitative Analytics ExperiencePhD In Computer ScienceDeep Expertise 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

Foundation ModelsLarge Language ModelsGenerative AIMachine LearningQuantitative AnalysisResearch InnovationModel DeploymentAI Coding WorkflowsVersion ControlScalable System Design

Tools & Technologies

TensorFlowPyTorchHugging FaceAWSGCPGitHub Copilot

Industry Keywords

AI ResearchModel Risk ManagementComplianceGovernanceRisk Mitigation

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Lead end-to-end research projects in Agentic AI, AI, Generative AI, and Machine Learning from ideation through documentation
Build the next generation of foundation models and agentic AI systems using large volumes of structured and unstructured data
Lead deployment of foundation models, LLMs, and agentic AI systems into production
Explore, apply, and rigorously evaluate emerging AI technologies for 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
Publish in top-tier AI/ML conferences and journals
Represent Wells Fargo in the broader AI research community
Support Wells Fargo’s model risk management, compliance, governance, and risk-mitigation objectives

Requirements

What you’ll need

7+ 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 / research innovation or industry experience building foundational models
Proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP
Deep 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 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