Lead AI Engineer

Wells Fargo•Boston, MA

1d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Lead AI Engineer in Technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). The team accelerates AI initiatives across the CCIBT portfolio using generative AI, AI-enabled software development life cycle (SDLC), and modern software engineering practices. It also incubates, builds, and scales GenAI tools, capabilities, and reusable frameworks to improve developer productivity and organizational effectiveness. The engineer advises on, designs, builds, and maintains AI-enabled solutions, making architectural and engineering decisions related to scalability, performance, security, reliability, and cost. The role works with stakeholders across product, development, infrastructure, operations, security, and the broader organization to turn AI opportunities into scalable solutions that provide measurable value to internal customers. This position has a hybrid work schedule and is based at one of the listed Boston or Charlotte locations. It is not eligible for visa sponsorship, and relocation assistance is not available.

Requirements

At least 5 years of software engineering experience or equivalent, demonstrated through work experience, training, military experience, or education.
At least 5 years of experience leveraging modern software engineering stacks, including modern Java, Python, and other technologies.
At least 3 years of experience developing and deploying applications and infrastructure in a cloud environment, such as Microsoft Azure, Amazon Web Services, or Google Cloud.
At least 1 year of past experience with AI SDLC and software engineering automation tools such as GitHub Copilot, Devin, Cursor, or Claude Code.
At least 3 years of experience with architectural, system, and code-level design patterns relevant to cloud solutions.

Nice To Haves

Experience with cloud security management or governance tools.
Ability to influence, partner, and negotiate with senior business leaders to drive strategic outcomes.
Excellent verbal, written, and interpersonal communication skills, including the ability to explain technical solutions to technical and business audiences.
A strategic view of project outcomes and opportunities to add value to Wells Fargo.
Delivery focus and willingness to work in a fast-paced enterprise environment.

Responsibilities

Lead complex technology initiatives, including companywide initiatives with broad impact.
Help develop standards and companywide best practices for engineering complex, large-scale technology solutions.
Design, build, test, deploy, and document business solutions using modern software engineering automation tools.
Review and analyze complex, large-scale technology solutions to meet strategic technical and business objectives.
Provide influence, thought leadership, and mentorship on team best practices and standards.
Collaborate and consult with technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals.
Partner with and support working relationships across Wells Fargo, including with senior leadership.
Invest in the growth of colleagues.
Advise on, design, build, and maintain AI-enabled solutions, making engineering and architectural decisions involving scalability, performance, security, reliability, and cost.
Work with stakeholders across product, development, infrastructure, operations, and security to turn AI opportunities into scalable solutions.