About this role:

Wells Fargo is seeking a Generative AI (GenAI) Engineering Manager who will lead the design, delivery, and operationalization of next‑generation AI/ML and GenAI platforms, capabilities, and solutions across the enterprise. This role will drive strategic AI initiatives, guide engineering teams, and partner closely with Architecture, Product, and business stakeholders to accelerate the adoption of responsible, secure, and scalable GenAI.

In this role, you will:

• Manage, coach, and develop a team of AI/ML engineers, prompt engineers, and full‑stack developers delivering enterprise‑grade GenAI solutions.
• Lead design and development of LLM‑based applications, RAG pipelines, intelligent agents, and AI‑driven workflow automation.
• Ensure alignment with Enterprise Architecture, Responsible AI policies, LLM security controls, and all non‑functional requirements (latency, scalability, resiliency, monitoring).
• Partner with architects to integrate cloud, data, and AI platform capabilities including model hosting, GPU compute, vector databases, and feature stores.
• Identify and resolve AI‑specific technical barriers such as model performance bottlenecks, data quality problems, prompt degradation, and deployment issues.
• Act as an escalation point for Agile teams, removing impediments and enabling innovation, experimentation, and continuous learning.
• Conduct peer reviews and model reviews to ensure engineering quality and alignment with strategic AI technical direction.
• Interpret, enforce, and optimize security, stability, and scalability guardrails; proactively identify and mitigate model, technology, and enterprise risks.
• Collaborate with business leaders to validate AI/ML opportunities and translate them into actionable engineering roadmaps.
• Provide L2 engineering support for production issues including model drift, integration failures, and data pipeline problems.

Required Qualifications:

• 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of Leadership experience
• 4+ years of experience in AI/ML engineering management or related software engineering leadership role.
• 4+ years of programming experience (Python, Java, or similar).
• 4+ years of hands‑on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑Learn, LangChain, LlamaIndex).
• 4+ years designing cloud‑native applications in GCP, AWS, or Azure.
• 4+ years of experience building LLM‑powered applications including embeddings, vector databases, model orchestration, and RAG pipelines.
• 4+years of experience with distributed and event‑driven systems (Kafka, Redis, MongoDB, Spark).
• 4+ years of Experience delivering APIs, microservices, and modern data solutions (Big Query, Snowflake, Dataproc).
• 4+years in test automation, performance evaluation, and enterprise‑grade AI validation.
• 4+years of Experience with UI/UX mockups (e.g., Figma) for AI workflow visualization.

Desired Qualifications:

• Experience with Capital Markets products, trade lifecycle, risk, and P&L (preferred but not required)
• Experience developing AI/ML solutions for risk modeling, market intelligence, data summarization, and workflow automation
• Advanced cloud and AI/ML certifications such as Google Cloud Architect or Google AI/ML Professional
• Demonstrated leadership in AI transformation, including workshops, training, and capability‑building across technical organizations
• Hands‑on experience driving adoption of AI‑assisted engineering tools such as Cursor to improve developer productivity
• Bachelor’s degree in computer science, Computer Engineering, Data Science, Artificial Intelligence, or related technical field
• Strong strategic leadership and ability to guide teams through complex GenAI engineering challenges

Job Expectations:

• Telecommuting permitted up to 3 days per week: onsite presence required per Wells Fargo hybrid guidelines
• Ability to travel up to 20% domestically
• Ability to lead engineering teams, partner with senior stakeholders, and deliver secure, scalable, responsible GenAI solutions

Posting Location:

150 E 42nd St. New York, NY 10017

Metro Park, 194 Wood Avenue South, Iselin, New Jersey 08830

300 S Brevard St., Charlotte, NC 28202

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 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.