Engineering Manager

About this role Wells Fargo is seeking an Engineering Manager to lead teams responsible for designing, building, and delivering Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. This role will provide leadership for full-stack engineering teams and drive execution of AI-powered applications, ensuring alignment with enterprise technology strategy, governance, and delivery objectives. The Engineering Manager will oversee the development of scalable, secure, and high-performing solutions, while fostering a culture of innovation, accountability, and continuous improvement across engineering teams. In this role, you will: 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   Required Qualifications: 5+ years of 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 2+ years of experience in full-stack development (Java, Node.js, Python) 1+ year of experience delivering cloud-native applications (GCP, AWS, or Azure) 1+ year of experience leading complex technology initiatives 1 + year of experience managing engineering teams ​ Desired Qualifications: 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   Job Expectations: Ability to work on-site at approved location listed This position is not available for visa sponsorship Relocation assistance is not available for this position Posting End Date:   21 Sep 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. Candidates applying to job openings posted in Canada: Applications for employment are