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Lead AI Engineer
Wells Fargo. Lead complex technology initiatives, including companywide initiatives with broad impact .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex technology initiatives and developing standards for large-scale technology solutions, with a strong focus on AI-enabled solutions and cloud infrastructure. Proven ability to mentor teams and collaborate with senior leadership to achieve strategic objectives.
Highest-signal resume keywords
Software Engineering ExperienceModern Java DevelopmentCloud Infrastructure DeploymentAI SDLC ExperienceCloud Security Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringJavaPythonCloud SolutionsArchitectural Design PatternsSoftware Engineering Automation ToolsAI-Enabled SolutionsScalabilityPerformanceReliability
Soft Skills
MentorshipCollaborationThought LeadershipInfluenceGuidance
Tools & Technologies
Microsoft AzureAmazon Web ServicesGoogle CloudGitHub CopilotDevinCursorClaude Code
Industry Keywords
Risk ManagementComplianceGovernanceMonitoringEscalationRemediation
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonSDLC
About the role
Key responsibilities & impact- Lead complex technology initiatives, including companywide initiatives with broad impact
- Develop standards and companywide best practices for engineering complex and large-scale technology solutions
- Design, build, test, deploy, and document business solutions using software engineering automation tools
- Review and analyze complex, large-scale technology solutions against strategic technical and business objectives
- Provide influence, thought leadership, mentorship, and guidance on team best practices and standards
- Collaborate with technical experts, senior technology teams, external industry groups, senior leadership, and other Wells Fargo teams
- Advise, design, build, and maintain innovative AI-enabled solutions
- Make architectural and engineering decisions involving scalability, performance, security, reliability, and cost
- Incubate, build, and scale GenAI tools, capabilities, and reusable frameworks
- Invest in the growth of colleagues
- Support risk, compliance, governance, monitoring, escalation, and remediation requirements
Requirements
What you’ll need- 5+ years of Software Engineering experience or equivalent, demonstrated through work experience, training, military experience, or education
- 5+ years of leveraging modern software engineering stacks including modern Java, Python and others
- 3+ years of experience developing and deploying applications and infrastructure in the cloud including Microsoft Azure, Amazon Web Services or Google Cloud
- 1+ years of past experience with AI SDLC and software engineering automation tools such as GitHub Copilot, Devin, Cursor or Claude Code
- 3+ years of experience with architectural, system and code-level design patterns relevant to cloud solutions
- Experience working with cloud security management or governance tools
- This position is not eligible for Visa sponsorship
- Ability to provide accurate information and supporting documentation for lawful employment and education verification
Benefits
Comp & perks- 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