Engineering Manager, AI Transformation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, AI Transformation based in United States. This role offers the opportunity to lead the engineering function behind an organization-wide AI transformation initiative. You will guide the development and operation of agentic AI solutions, integrations, evaluation frameworks, and AI-powered engineering tools. As a hands-on technical leader, you will shape architecture while building and scaling a high-performing engineering team. The position combines people leadership, deep technical ownership, and close collaboration with Product, business units, Security, and Compliance. You will help establish reliable, secure, and auditable AI practices within a regulated financial services environment. The role is ideal for an engineering leader who enjoys turning emerging AI capabilities into scalable solutions with measurable business impact.

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.

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