Engineering Manager

Wells Fargo•Irving, TX

6d•Onsite

About The Position

Wells Fargo is seeking an Engineering Manager to lead teams that design, build, and deliver Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. The role leads full-stack engineering teams and drives execution of AI-powered applications in alignment with enterprise technology strategy, governance, and delivery objectives. The Engineering Manager oversees the development of scalable, secure, high-performing solutions and fosters innovation, accountability, and continuous improvement across engineering teams. Responsibilities include leading complex technology initiatives and enterprise-wide AI programs; overseeing Agentic AI systems and automation workflows; delivering end-to-end solutions spanning user interfaces, APIs, and cloud platforms; partnering with architects and cross-functional teams; ensuring quality through CI/CD, testing, and observability; and managing resources, plans, timelines, hiring, performance, and team development. The role also ensures compliance with security, risk, and regulatory requirements. The position requires working on-site at an approved location. Visa sponsorship and relocation assistance are not available.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
2+ years of leadership experience.
2+ years of full-stack development experience with Java, Node.js, or Python.
1+ year of experience delivering cloud-native applications using GCP, AWS, or Azure.
1+ year of experience leading complex technology initiatives.
1+ year of experience managing engineering teams.

Nice To Haves

Experience with GenAI, LLMs, or conversational AI solutions.
Experience with Agentic AI frameworks and multi-agent architectures.
Exposure to RAG, prompt engineering, or AI evaluation frameworks.
Experience in contact center technologies or enterprise automation platforms.
Strong understanding of distributed systems and API integrations.
Ability to influence stakeholders and drive cross-functional alignment.

Responsibilities

Manage and develop a team of engineers delivering GenAI and full-stack solutions.
Lead execution of complex technology initiatives, including enterprise-wide AI programs.
Oversee the design and delivery of Agentic AI systems and automation workflows.
Drive development of end-to-end full-stack solutions, including UI, APIs, and cloud platforms.
Partner with architects to ensure solutions follow enterprise standards and best practices.
Collaborate with product, business, and data science teams to translate requirements into solutions.
Ensure delivery of high-quality solutions through CI/CD, testing, and observability.
Manage resource allocation, project planning, and delivery timelines.
Mentor and coach engineers, including hiring and performance management.
Ensure solutions comply with security, risk, and regulatory requirements.
Fulfill applicable risk and compliance obligations, monitor and escalate risks, and make sound risk decisions.