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Senior Software Engineering Manager

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States , Charlotte, North Carolina / Irving, Texas

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

About this role: Wells Fargo is seeking a...

Job Responsibility:

  • Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
  • Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
  • Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture
  • for example cloud readiness, application modernization, data strategy
  • Function as the technical representative for the product during cross-team collaborative efforts and planning
  • Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
  • Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
  • Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
  • Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
  • Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
  • Interact directly with third party vendors and technology service providers
  • Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
  • Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
  • Manage and develop software engineering teams focused on Generative AI platforms and services.
  • Lead delivery of complex AI initiatives, including LLM‑based applications, RAG pipelines, and AI‑enabled automation.
  • Partner with Product Owners to translate Gen AI use cases into scalable, secure technical solutions.
  • Collaborate with Architecture, Security, and Risk teams to ensure responsible AI, data protection, and compliance.
  • Establish engineering standards for Gen AI development, testing, observability, and production readiness
  • Drive adoption of modern SDLC, Agile, DevSecOps, and MLOps practices.
  • Act as an escalation point for complex technical, delivery, and people‑related challenges.
  • Influence enterprise AI strategy, tooling, and best practices through leadership and collaboration.

Requirements:

  • 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 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.

Nice to have:

  • Experience delivering Generative AI solutions using LLMs and AI frameworks (e.g., LangChain, LangGraph).
  • Familiarity with Retrieval‑Augmented Generation (RAG) patterns, including vector databases, embeddings, and retrieval strategies.
  • Experience with ML frameworks such as TensorFlow or PyTorch, and exposure to MLOps practices.
  • Experience partnering with SRE teams to ensure AI systems are observable, reliable, and production‑ready.
  • Strong stakeholder communication skills, including engagement with senior leaders.

Additional Information:

Job Posted:
March 19, 2026

Expiration:
March 19, 2026

Employment Type:
Fulltime
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