Senior Engineering Manager leading the development and evolution of platform management and automation systems. Overseeing engineering teams in building automation frameworks and ensuring operational efficiency.
About the role
- Senior Software Engineering Manager leading engineering teams at Wells Fargo. Overseeing AI platform development, collaborating cross-functionally, and ensuring software quality and compliance.
Responsibilities
- Manage, coach, and develop a team or teams of experienced engineers and engineering managers
- Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release
- Partner with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies
- Function as the technical representative for the product during cross-team collaborative efforts
- Identify and recommend opportunities for driving escalated resolution of technology roadblocks
- Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams
- Build engineering skills side-by-side in the codebase and conduct peer reviews
- Collaborate with Product Managers/Product Owners to drive user satisfaction
- Interact directly with third party vendors and technology service providers
- Manage allocation of people and financial resources
- Hire, build and guide a culture of talent development
- Manage and develop software engineering teams focused on Generative AI platforms and services
- Lead delivery of complex AI initiatives
- Influence enterprise AI strategy, tooling, and best practices
Requirements
- 7+ years of Software Engineering experience
- 3+ years of management or leadership experience
- Strong understanding of software engineering fundamentals, SDLC, and modern cloud‑based architectures
- Demonstrated ability to lead through influence, manage ambiguity, and make sound technical and people decisions
- Experience delivering Generative AI solutions using LLMs and AI frameworks (e.g., LangChain, LangGraph)
- Familiarity with Retrieval‑Augmented Generation (RAG) patterns
- Experience with ML frameworks such as TensorFlow or PyTorch
- Experience partnering with SRE teams to ensure AI systems are observable, reliable, and production‑ready
- Strong stakeholder communication skills
Benefits
- Health insurance
- Paid time off
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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