Lead Software Engineer - AI Solutions

About the role

Wells Fargo is seeking a hands-on technical lead responsible for implementing the shared AI enablement capabilities that support Devin and other coding agents across Development, DevOps and RunOps, including integrations, reusable playbooks and operational guardrails.

Responsibilities

• Lead complex technology initiatives including those that are companywide with broad impact
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Own hands-on implementation: Convert the shared AI Enablement Team model into a prioritized engineering backlog and deliver reusable capabilities across all domain verticals
• Build secure integrations: Implement the MCP gateway and tool connectors, with appropriate access controls, authentication and audit evidence
• Enable development workflows: Implement agent-assisted story-to-code workflows, pull-request remediation and automated regression, cross-browser and performance testing, with engineer review before acceptance
• Automate delivery: Build and maintain pipeline and playbook automation, ephemeral environments and reversible rollouts, including ServiceNow records and release evidence
• Improve operations: Connect telemetry to incident triage and evidence-backed root-cause analysis. Automate runbooks and preventive tests to reduce repeat incidents
• Standardize and coach: Maintain reusable skills, rules and remediation playbooks. Help engineering teams adopt them through workshops and pair programming
• Measure results and enforce controls: Monitor adoption, code acceptance, deployment reliability, MTTD/MTTR and ACU consumption. Partner with security and compliance teams to embed guardrails into every integration

Requirements

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

Qualifications

• 5+ years of demonstrated experience designing and delivering production software, APIs and enterprise integrations, with strong coding, automated testing and troubleshooting skills
• 3+ years of AI-assisted engineering experience: Hands-on experience integrating AI coding agents into development workflows, including pull-request review, validation of generated code and human approval controls
• 5+ years of Integration architecture experience: Ability to implement secure tool access using API gateways and Model Context Protocol (MCP), including authentication, authorization and auditable execution
• 5+ years of DevSecOps experience: Experience with CI/CD pipelines, deployment automation, automated testing and remediation of code-quality, security and dependency findings
• 5+ years of Production reliability experience: Experience using telemetry to investigate incidents, establish root cause, improve service-level objectives and automate operational runbooks
• 5+ years of Technical leadership: Ability to translate architecture into working software, lead design and code reviews, mentor engineers and coordinate delivery across application, platform and security teams
• Direct experience with Devin, including reusable instructions, agent workflows and monitoring of Agent Compute Unit (ACU) consumption
• Experience with Apigee Hybrid or ApigeeX and remote or hosted MCP integrations, including enterprise security reviews and access patterns
• Familiarity with the referenced delivery toolchain: Atlassian Cloud, Figma, GitHub Actions, Sonar, Checkmarx, Black Duck, Harness, Ansible, and ServiceNow
• Experience with Splunk Observability and AppDynamics, ephemeral test environments, feature-flag rollouts and automated release-readiness evidence
• Experience building shared engineering platforms and driving adoption through workshops, pair programming and communities of champions

Schedule

• This position offers a hybrid work schedule
• Visa sponsorship is not available for this position

Pay

Base pay range: $119,000.00 - $224,000.00. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

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

Posting end date: 24 Oct 2026. Reference number: R-582330-2.