Senior Level Artificial Intelligence Scientist Jobs
Senior level artificial intelligence scientist jobs call for professionals who set the technical direction, own research outcomes, and lead the teams or projects that bring complex AI systems to life. Openings are concentrated across Technology & Software, Banking & Financial Services, and Fintech, with a mix of on-site, remote, and hybrid settings, and employers like Northwest Bank, Figma, and Intuit hiring at this level now.
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About this role:
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research Scientist Lead – Foundation Models & Agentic AI) to drive advanced AI initiatives. This role will lead the development and evaluation of next-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting-edge AI capabilities into real-world financial applications that serve millions of customers.
In this role, you will:
- 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.
Required Qualifications:
- 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
Desired 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 / 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
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- 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
Posting End Date:
2 Nov 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
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Senior Level Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get a senior level artificial intelligence scientist job?
Employers hiring at the senior level look for candidates who have led end-to-end AI research or product initiatives, not just contributed to them. A strong publication record, open-source contributions, or deployed production systems carry significant weight. Demonstrating that you have mentored junior scientists, shaped research roadmaps, and made architectural decisions that held up at scale will set you apart from mid-level candidates.
Which companies hire senior level artificial intelligence scientists?
Companies hiring senior level artificial intelligence scientists right now include Northwest Bank, Figma, and Intuit, based on current listings on Migrate Mate as of November 2026. Hiring at this level is driven by a mix of large technology firms, well-funded AI startups, and enterprise organizations building proprietary AI capabilities across healthcare, finance, and defense sectors.
Are there remote senior level artificial intelligence scientist jobs?
Yes, remote and hybrid options are widely available at the senior level. About 33% of senior level artificial intelligence scientist openings are remote or hybrid as of November 2026, reflecting the research-oriented nature of the role and employer competition for top talent regardless of location. On-site roles tend to cluster at labs and organizations where hands-on hardware or data infrastructure access is required.
What makes an artificial intelligence scientist role senior level?
Senior level roles are defined by scope and ownership. Where a mid-level scientist executes on a defined problem, a senior artificial intelligence scientist shapes how the problem is framed, selects the modeling approach, and is accountable for the outcome. These roles typically involve leading a sub-team or project workstream, mentoring junior researchers, contributing to hiring decisions, and publishing or presenting work that represents the organization externally.
Which industries hire the most senior level artificial intelligence scientists?
Senior level artificial intelligence scientist roles concentrate in Technology & Software, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they have both the data infrastructure to support large-scale AI development and the competitive pressure to attract experienced scientists who can move quickly from research to production.