Lead Software Engineer – AI Solutions

Wells Fargo

. Lead complex, companywide technology initiatives with broad impact .

Posted 10/22/2026full-timeUnited StatesSenior💰 $119,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Software Engineering, focusing on AI-assisted engineering, integration architecture, and DevSecOps practices. Proven ability to lead technology initiatives, mentor teams, and implement secure, automated solutions across various platforms.

Highest-signal resume keywords

Software Engineering ExperienceAI-Assisted EngineeringIntegration ArchitectureDevSecOps ExperienceTechnical Leadership Experience

ATS Keywords

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Hard Skills

Coding SkillsAutomated TestingTroubleshooting SkillsProduction Software DeliveryAPI Design and DeliveryDeployment AutomationRoot Cause AnalysisIncident InvestigationCode ReviewSecurity and Compliance Integration

Soft Skills

CollaborationMentoringWorkshop FacilitationCommunication

Tools & Technologies

API GatewaysModel Context Protocol (MCP)CI/CD PipelinesServiceNowAtlassian CloudFigmaGitHub ActionsSonarCheckmarxSplunk Observability

Industry Keywords

DevSecOpsTelemetryAutomated RunbooksProduction ReliabilityEnterprise Integrations

Tech Stack

Tools & technologies

AnsibleCloudServiceNowSplunk

About the role

Key responsibilities & impact

Lead complex, companywide technology initiatives with broad impact
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
Develop companywide engineering and technology best practices and lead technology teams to meet deliverables and drive initiatives
Collaborate with technical experts, senior technology teams, and external industry groups to resolve complex technical issues
Convert the shared AI Enablement Team model into a prioritized engineering backlog
Deliver reusable AI enablement capabilities across all domain verticals
Implement the MCP gateway and tool connectors with access controls, authentication, and audit evidence
Implement agent-assisted story-to-code workflows, pull-request remediation, automated regression, cross-browser, and performance testing with engineer review
Build and maintain pipeline and playbook automation, ephemeral environments, reversible rollouts, 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
Help engineering teams adopt capabilities 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

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 experience designing and delivering production software, APIs, and enterprise integrations
Strong coding, automated testing, and troubleshooting skills
3+ years of AI-assisted engineering experience integrating AI coding agents into development workflows
Experience with pull-request review, validation of generated code, and human approval controls
5+ years of integration architecture experience
Experience implementing 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 experience
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 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
Visa sponsorship is not available for this position

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
Incentive opportunities may be available