Wells Fargo

AI Engineering Manager

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteNew JerseyNorth CarolinaUnited States

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Salary

💰 $119,000 - $224,000 per year

About the role

  • Lead, manage, and develop a team of software engineers, providing technical direction, coaching, and performance management.
  • Remain hands-on with architecture, design, and critical code paths for AI, ML, and Generative AI solutions.
  • Own and drive technical strategy, solution design, and execution for multiple AI initiatives.
  • Establish and enforce engineering standards, coding best practices, and architectural patterns.
  • Partner with product owners, architects, SRE, and platform teams to deliver secure, scalable, and resilient solutions.
  • Lead design and architecture reviews; ensure alignment with enterprise standards, risk, compliance, and NFRs.
  • Drive Agile delivery, planning, grooming, estimation, and execution.
  • Act as an escalation point for complex technical and operational issues.
  • Foster a culture of engineering excellence, innovation, and continuous learning.
  • Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture, for example, cloud readiness, application modernization and data strategy.
  • Function as the technical representative for the product during cross-team collaborative efforts and planning.
  • Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards.
  • Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture.
  • 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 low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk.
  • Collaborate and consult with the 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.
  • Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products.

Requirements

  • 5+ years of software engineering experience.
  • 1+ years of experience leading or managing ML/AI engineering teams.
  • Strong experience designing and building distributed, enterprise-scale systems.
  • Bachelor’s degree in computer science or equivalent.
  • Proficiency in Python, JavaScript, Angular/React, REST/SOAP APIs.
  • Experience with AI/GenAI frameworks (LangChain, LangGraph).
  • Hands-on experience with Generative AI and RAG pipelines (vector DBs, embeddings, retrieval).
  • Strong understanding of microservices, cloud platforms (AWS, Azure, GCP).
  • Experience with CI/CD (Harness, Jenkins), automation and observability tools (Ansible, Prometheus, Grafana, ELK, Datadog), and ServiceNow.
  • Strong Agile and DevOps practices.
  • Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility.
  • Hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, GitHub Copilot).
  • Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable.
  • Deep knowledge of LLM and API integration, including RESTful API design.
Benefits
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaScriptAngularReactREST APIsSOAP APIsAI frameworksGenerative AIRAG pipelinesmicroservices
Soft Skills
leadershipcoachingperformance managementcollaborationproblem-solvingmentoringinnovationcontinuous learningcommunicationagile practices
Certifications
Bachelor’s degree in computer science