Lead Applied AI Engineer

The Cognitive AI Solutions team is building the next generation of agentic AI and process intelligence capabilities for the firm. As our platform matures partner organizations across the bank are engaging with us to bring advanced AI directly to their highest-impact business problems. We are seeking aLead Applied AI Engineerto partner with a business organization (such as banking operations complaints or wholesale operations) to design build and ship AI capabilities for one of the banks most important production domains.

This is a hands-on engineering role with significant scope. You will work at the intersection of two organizations: partnering closely with the business domain team while remaining part of the Cognitive AI Solutions engineering bench. You will be the technical engine that brings our platform capabilities and state-of-the-art models into a high-impact business domain driving measurable outcomes.

What Youll Do

• Partner with the business organizationto understand their workflows data and operational touchpoints and identify where advanced AI can deliver measurable improvements.

• Design and build AI capabilities for the partner domain applying state-of-the-art techniques including transformer-based models and foundation models for sequential and transactional data.

• Ship and own models in production integrating platform components into the partner domain contributing improvements back to the platform team and ensuring deployed systems meet the banks reliability security and compliance standards.

• Build evaluation observability and guardrail systemsproduction AI requires rigorous testing monitoring and behavioral controls. You will own these for the systems you ship.

• Collaborate across the data and modeling application boundarydeploying models within the modeling environment while consuming data and context from the regulated data platform.

• Translate technical progress into presentable outcomessupporting partner stakeholder reviews and Cognitive AI Solutions executive demos as needed.

Required Qualifications

• 5 years of Specialty Software Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education

• 5 years of software engineering experience with at least 3 years applying machine learning or AI to production systems.

Desired Qualifications

• Hands-on experience building and deploying machine learning models including transformer-based architectures or foundation models in a production environment.

• Strong full-stack software engineering skillscomfortable across data models services and integration; able to ship end-to-end.

• Solid understanding of modern AI evaluation observability and guardrails for production deployment.

• Excellent collaboration technical communication and problem-solving skills with a track record of shipping software that touches real users in real production environments.

• Prior experience in financial services applications (e.g. banking operations complaints wholesale operations) or comparable regulated enterprise domains.

• Experience working under Model Risk Management or compliance governance for production AI deployment.

• Experience working with large-scale transactional or sequential data.

• Experience working in a partner-facing engineering engagement model with business organizations.

Job Expectations and Core Values:

• Be Humble:Youre smart yet always interested in learning from others.

• Work Transparently:You always deal in an honest direct and transparent way.

• Take Ownership:You embrace responsibility and find joy in having the answers.

• Learn More:You regularly self-educate and improve your skill set.

• Show Gratitude:You show appreciation and respect to those you work with.

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.

Posting End Date:

*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 units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability 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.