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Wells Fargo

Engineering Manager

Wells Fargo

. Manage and develop a team of engineers delivering GenAI and full-stack solutions .

Posted 9/18/2026full-timeChandler • Arizona • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing engineering teams and delivering full-stack solutions, with a strong focus on GenAI and cloud-native applications. Proven ability to lead complex technology initiatives while ensuring compliance with security and regulatory standards.

Highest-signal resume keywords
Full-Stack DevelopmentGenAI SolutionsCloud-Native ApplicationsLeadership ExperienceAPI Integrations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaNode.jsPythonCI/CDDistributed SystemsAgentic AI FrameworksMulti-Agent ArchitecturesCloud PlatformsTestingObservability
Soft Skills
MentoringStakeholder InfluenceCross-Functional Collaboration
Tools & Technologies
GCPAWSAzureContact Center TechnologiesEnterprise Automation Platforms
Industry Keywords
AI ProgramsAutomation WorkflowsResource AllocationProject PlanningRegulatory Compliance

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptNode.jsPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
  • 2+ years of Leadership experience
  • 2+ years of experience in full-stack development using Java, Node.js, and Python
  • 1+ year of experience delivering cloud-native applications using GCP, AWS, or Azure
  • 1+ year of experience leading complex technology initiatives
  • 1+ year of experience managing engineering teams
  • 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
  • Ability to work on-site at an approved location listed
  • This position is not available for visa sponsorship

Benefits

Comp & perks
  • Equal opportunity employer
  • Medical accommodation support during the application or interview process
  • Relocation assistance is not available for this position