Software Engineering Senior Manager - Gen AI

About this role:

Wells Fargo is seeking a Senior Engineering Manager is responsible for leading multiple engineering teams that design, develop, and deliver enterprise-scale AI, Cloud, and Digital Transformation solutions. This role combines strategic leadership, deep technical expertise, architecture ownership, talent development, and successful execution of large-scale programs. The ideal candidate will possess strong hands-on experience in Python development, cloud-native architectures, Generative AI, LLMs, RAG, Agentic AI frameworks, and modern software engineering practices while leading high-performing engineering teams. The role is expected to drive innovation, modernization, governance, engineering excellence, and AI adoption across the organization

In this role, you will:

• 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

Required Qualifications:

• 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

Desired Qualifications:

​Engineering Leadership & Organizational Management

• Lead, mentor, and develop teams of software engineers, architects, AI engineers, and engineering managers.
• Establish a culture of innovation, engineering excellence, accountability, and continuous learning.
• Drive workforce planning, succession planning, talent development, and organizational effectiveness.
• Build and retain high-performing engineering teams while fostering an inclusive and collaborative work environment.
• Manage allocation of people, budget, and technology investments to meet strategic objectives.

AI Strategy & Technical Leadership

• Define and execute the AI and Cloud engineering roadmap aligned with business objectives.
• Lead the design and implementation of enterprise AI solutions leveraging:
  • Large Language Models (LLMs)
  • Retrieval Augmented Generation (RAG)
  • Agentic AI Architectures
  • LangGraph
  • LangChain
  • Semantic Kernel
  • Vector Databases
  • AI Agents and Multi-Agent Systems
• Establish best practices for Prompt Engineering, Model Evaluation, AI Governance, and Responsible AI.
• Evaluate emerging AI technologies and drive adoption of innovative solutions across the organization.
• Partner with business stakeholders to identify AI opportunities and accelerate transformation initiatives.

Architecture & Platform Engineering

• Own architecture and design decisions for cloud-native and AI-enabled applications.
• Define enterprise-scale reference architectures and design patterns.
• Lead modernization efforts from monolithic and legacy systems to microservices and event-driven architectures.
• Review and approve critical architecture decisions and technical designs.
• Ensure applications meet enterprise requirements for scalability, resiliency, security, observability, and maintainability.

Cloud Engineering & Modernization

• Lead multi-cloud and hybrid-cloud transformation initiatives.
• Drive adoption of Cloud Adoption Frameworks and Well-Architected Frameworks.
• Establish engineering standards across:
  • OCP
  • Azure
  • GCP
  • Kubernetes
  • Containers
  • Infrastructure as Code
  • Cloud Security
• Ensure optimization of cloud cost, security, reliability, and operational excellence.
• Drive platform modernization and engineering productivity improvements.

Software Engineering Excellence

• Champion enterprise software engineering best practices.
• Drive adoption of:
  • Python-first engineering development
  • Modern Java development (Desirable)
  • .NET development (desirable)
  • DevOps & CI/CD
  • SRE Principles
  • Automated Testing
  • Secure SDLC
• Establish engineering metrics and quality standards.
• Oversee code review practices and engineering governance

Stakeholder & Business Leadership

• Collaborate with Product Leaders, Enterprise Architects, Risk, Compliance, and Executive Leadership.
• Influence senior executives and business leaders on technology strategy and investment decisions.
• Lead vendor partnerships and manage external technology providers.
• Drive strategic initiatives and enterprise-wide transformation programs.
• Communicate technology strategy, risks, and outcomes to executive stakeholders.

• Delivering AI/ML, Cloud, and Enterprise Platform solutions.
• Proven experience leading large-scale enterprise modernization programs.
• Experience managing globally distributed engineering teams.

Technical Expertise

Programming Languages

• Expert-level Python development.
• Java development experience (desirable)
• .NET experience desired (desirable)
• AI & Generative AI
• Large Language Models (LLMs)
• LangGraph
• LangChain
• RAG (Retrieval Augmented Generation)
• Semantic Kernel
• Vector Databases
• Agentic AI Frameworks
• Prompt Engineering
• Model Evaluation & Monitoring
• AI Governance & Responsible AI
• Architecture
• Microservices Architecture
• Event Driven Architecture
• Domain Driven Design
• Enterprise Integration Patterns
• API Design & Platform Engineering
• Distributed Systems
• Cloud Platforms
• GCP (Preferred)
• Azure
• PCF
• AWS (Desirable)
• Engineering Practices
• Kubernetes & Containers
• CI/CD
• DevOps
• SRE Principles
• Infrastructure as Code
• Security Engineering
• Observability & Monitoring

• Azure or GCP Cloud Certification.
• Experience in Banking or Financial Services.
• Experience leading enterprise AI transformation programs.
• Strong understanding of regulatory, risk, compliance, and security requirements.
• Experience working within large matrix organizations.
• Experience managing vendors and third-party technology providers.
• Proven success delivering large-scale cloud and AI engineering initiatives.

Job Expectations:

Senior Engineering Manager is responsible for leading multiple engineering teams that design, develop, and deliver enterprise-scale AI, Cloud, and Digital Transformation solutions. This role combines strategic leadership, deep technical expertise, architecture ownership, talent development, and successful execution of large-scale programs.

• Inspire and lead through servant leadership.
• Create an environment where innovation and experimentation thrive.
• Balance strategic thinking with operational excellence.
• Drive engineering productivity through AI-assisted development practices.
• Develop future technical and people leaders.
• Serve as a trusted advisor to executive leadership.
• Lead with integrity, accountability, and inclusion.

Posting End Date: 

*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 encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.