Lead Software Engineer - AI Solutions

Wells Fargo & Company • Concord, CA

1d • $119,000 - $224,000 • Hybrid

About The Position

Wells Fargo is seeking a hands-on technical lead to implement shared AI enablement capabilities supporting Devin and other coding agents across Development, DevOps, and RunOps. The role includes building integrations, reusable playbooks, and operational guardrails. The engineer will turn the shared AI Enablement Team model into a prioritized engineering backlog and deliver reusable capabilities across domain verticals; implement secure MCP gateway and tool integrations; enable agent-assisted development and testing workflows with engineer review; automate delivery pipelines, playbooks, ephemeral environments, and reversible rollouts; and connect telemetry to incident triage and root-cause analysis. The role also standardizes reusable skills and remediation playbooks, coaches engineering teams, monitors adoption and operational metrics, and partners with security and compliance teams to embed controls.

The position offers a hybrid work schedule. Visa sponsorship is not available. The stated base pay range is $119,000 to $224,000, with pay dependent on factors such as performance, skills, experience, and work location. Employees may also be eligible for incentive opportunities.

Requirements

• At least 5 years of software engineering experience, or equivalent experience demonstrated through work, training, military experience, or education.
• At least 5 years of experience designing and delivering production software, APIs, and enterprise integrations, with coding, automated testing, and troubleshooting skills.
• At least 3 years of hands-on experience integrating AI coding agents into development workflows, including pull-request review, validation of generated code, and human approval controls.
• At least 5 years of integration architecture experience, including secure tool access using API gateways and MCP, authentication, authorization, and auditable execution.
• At least 5 years of DevSecOps experience with CI/CD pipelines, deployment automation, automated testing, and remediation of code-quality, security, and dependency findings.
• At least 5 years of production reliability experience using telemetry to investigate incidents, establish root cause, improve service-level objectives, and automate operational runbooks.
• At least 5 years of technical leadership experience translating architecture into working software, leading design and code reviews, mentoring engineers, and coordinating delivery across application, platform, and security teams.
• Visa sponsorship is not available for this position.

Nice To Haves

• Direct experience with Devin, including reusable instructions, agent workflows, and monitoring 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 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.

Responsibilities

• Lead complex technology initiatives, including companywide initiatives with broad impact.
• Review and analyze complex, large-scale technology solutions against business objectives, the enterprise technology environment, and technical challenges.
• Develop standard and companywide best practices for engineering and technology solutions, and lead technology teams in delivering initiatives.
• Collaborate with technical experts, senior technology teams, and external industry groups to resolve complex technical issues.
• Translate the shared AI Enablement Team model into a prioritized engineering backlog and implement reusable capabilities across domain verticals.
• Build secure MCP gateway and tool integrations with access controls, authentication, and audit evidence.
• Implement agent-assisted story-to-code workflows, pull-request remediation, automated regression, cross-browser and performance testing, and engineer review before acceptance.
• Build and maintain pipeline and playbook automation, ephemeral environments, and reversible rollouts, including ServiceNow records and release evidence.
• Connect telemetry to incident triage and evidence-backed root-cause analysis; automate runbooks and preventive tests to reduce repeat incidents.
• Maintain reusable skills, rules, and remediation playbooks; support adoption through workshops and pair programming.
• Monitor adoption, code acceptance, deployment reliability, MTTD/MTTR, and ACU consumption.
• Partner with security and compliance teams to embed guardrails into integrations.

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
• Incentive opportunities may be available

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed