Engineering Manager, AI Transformation

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Lead, coach, and grow the AI Transformation engineering team, including hiring, performance management, career development, and building a high-performance and accountable engineering culture.
• Own the architecture, delivery, reliability, and operational health of AI solutions, including AI agents, plugins and skills, evaluation harnesses, integrations, and usage analytics.
• Guide technical decisions involving agentic workflows, LLM integrations, and MCP-based orchestration while establishing engineering standards for security, compliance, reliability, and auditability.
• Champion modern engineering practices, including AI-assisted development and agentic workflows that can improve engineering productivity and delivery.
• Partner with Product, business units, Security, Compliance, and Enterprise AI Governance teams to align engineering initiatives with business objectives.
• Lead delivery across consult, co-development, and own-and-maintain engagement models, coordinating initiatives that span multiple teams.
• Define and monitor KPIs related to AI adoption, solution quality, engineering velocity, and operational performance.
• Drive CI/CD, observability, production support, and operational rigor across the AI solution portfolio.
• Manage technical debt, scalability, and engineering maturity as the number and complexity of AI solutions continue to grow.

Requirements:

• 7+ years of professional software engineering experience, including at least 2 years in technical leadership or engineering management roles.
• Hands-on experience building and deploying LLM-based or agentic AI products, including prompting, evaluation frameworks, agent frameworks, MCP, or comparable orchestration technologies.
• Strong understanding of cloud-native architecture, preferably AWS or an equivalent platform, along with API design and modern CI/CD practices.
• Proficiency in TypeScript and/or Python.
• Demonstrated experience hiring, coaching, and developing engineers while managing evolving team responsibilities and technical scope.
• Strong stakeholder management and communication skills, with the ability to work effectively across Product, business units, Security, and Compliance.
• Ability to make sound technical decisions while balancing architecture, delivery, reliability, security, and business requirements.
• Experience working in a regulated environment such as fintech, lending, payments, or financial services is a plus.
• Experience integrating AI or agentic development tools into the software development lifecycle to improve engineering throughput is a plus.

Benefits:

• Base salary range of $185,200–$210,600 for CA, WA, NJ, MA, DC, and NYC.
• Base salary range of $169,100–$191,800 for other U.S. locations.
• Base salary range of $207,900–$235,700 for San Francisco.
• Eligibility for additional bonus compensation and equity.
• Opportunity to lead an AI Transformation engineering function with broad organizational impact.
• Hands-on exposure to LLMs, agentic AI, MCP-based orchestration, evaluation frameworks, and AI-assisted engineering workflows.
• Leadership opportunity spanning people development, architecture, delivery, and operational excellence.
• Cross-functional collaboration with Product, business teams, Security, Compliance, and enterprise AI governance stakeholders.
• Opportunity to establish scalable AI engineering practices within a regulated financial services environment.
• Reasonable accommodations are available for qualified applicants and employees with disabilities, as required by applicable law.