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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI Transformation engineering teams, with a strong focus on building high-performance cultures, managing technical delivery, and ensuring compliance in regulated environments. Proficient in architecting AI solutions and integrating LLM-based products into development workflows.
Highest-signal resume keywords
AI Solutions ArchitectureLLM-Based Product DevelopmentCloud-Native ArchitectureTechnical LeadershipStakeholder 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
TypeScriptPythonAPI DesignCI/CD PracticesAgent FrameworksMCP OrchestrationPerformance ManagementKPI TrackingTechnical Debt ManagementScalability
Soft Skills
CoachingCommunicationTeam BuildingAccountabilityStakeholder Engagement
Tools & Technologies
AWSObservability ToolsAI ToolingIntegration FrameworksEvaluation Harnesses
Industry Keywords
Regulated Financial ServicesFintechLendingPaymentsCompliance
Tech Stack
Tools & technologiesAWSCloudPythonTypeScript
About the role
Key responsibilities & impact- Lead, coach, and grow the AI Transformation engineering team
- Own hiring, performance management, and career development
- Build a high-performance, accountable engineering culture
- Own the architecture, delivery, and reliability of AI solutions including agents, plugins/skills, evaluation harnesses, integrations, and usage analytics
- Guide technical decisions on agentic workflows, LLM integration, and MCP-based orchestration
- Set and enforce engineering standards for security, compliance, and auditability in a regulated financial services environment
- Champion AI-assisted and agentic development workflows
- Partner with Product, business units, and Enterprise AI Governance to align engineering delivery with business outcomes
- Own delivery across initiatives spanning multiple teams
- Define and track KPIs for adoption, quality, and velocity
- Drive CI/CD, observability, and support rigor
- Manage technical debt and scalability as the AI solutions portfolio grows
- Perform additional responsibilities as assigned by supervisors or managers
Requirements
What you’ll need- 7+ years of software engineering experience, including 2+ years in technical leadership or management roles
- Hands-on experience building and shipping LLM-based or agentic AI products, including prompting, evaluations, agent frameworks, and MCP or similar orchestration
- Strong grasp of cloud-native architecture, AWS or equivalent, API design, and modern CI/CD practices
- Proficiency in TypeScript and/or Python
- Track record of hiring, coaching, and growing engineers through changing scope
- Excellent stakeholder management and communication skills; comfortable operating across Product, business units, Security, and Compliance
- Experience in a regulated environment such as fintech, lending, or payments is a plus
- Experience integrating AI or agentic tooling into the software development lifecycle to improve engineering throughput is a plus
Benefits
Comp & perks- Reasonable accommodations of known disabilities as required by law
- Collaborative work culture
- Rewarding career opportunity