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 the United States. This is a hands-on engineering leadership opportunity focused on accelerating responsible AI adoption across a fast-moving technology organization.

You will lead a team building and operating AI-powered solutions, including intelligent agents, integrations, evaluation frameworks, and usage analytics.

The role combines people leadership with deep technical ownership, giving you influence over architecture, engineering standards, and delivery strategy.

You will guide the development of agentic AI systems using modern LLM technologies, orchestration frameworks, and cloud-native architectures.

Working closely with Product, business teams, Security, Compliance, and AI governance stakeholders, you will translate emerging AI capabilities into measurable business value.

You will also establish the engineering practices needed to ensure solutions are secure, reliable, observable, scalable, and auditable.

This is an opportunity to shape an AI transformation function while growing a high-performing engineering team and advancing how AI is integrated into everyday software development.

Accountabilities

• Lead, coach, and develop the AI Transformation engineering team, including hiring, performance management, career development, and team growth.
• Build a high-performing and accountable engineering culture that encourages technical excellence, innovation, collaboration, and continuous learning.
• Own the architecture, engineering delivery, quality, reliability, and operational health of AI solutions, including agents, plugins, skills, evaluation harnesses, integrations, and usage analytics.
• Guide technical decisions involving agentic workflows, LLM integrations, MCP-based orchestration, and related AI development patterns.
• Establish and enforce engineering standards covering security, compliance, auditability, reliability, and maintainability within a regulated financial services environment.
• Champion modern software engineering practices, including AI-assisted development and agentic workflows that improve engineering productivity and delivery velocity.
• Partner with Product, business units, Security, Compliance, and enterprise AI governance stakeholders to align technical execution with business priorities.
• Lead delivery across initiatives involving multiple teams and engagement models, from consulting and co-development through ongoing ownership and maintenance.
• Define and track KPIs related to AI adoption, solution quality, engineering velocity, reliability, and business impact.
• Strengthen CI/CD, observability, production support, and operational processes across the AI solution portfolio.
• Proactively manage technical debt, scalability, and platform maturity as AI adoption and the number of solutions increase.
• Identify opportunities to expand the use of AI and agentic tooling throughout the software development lifecycle.

Requirements

• 7+ years of professional software engineering experience, including at least 2 years in technical leadership or engineering management.
• Hands-on experience designing, building, and shipping LLM-powered or agentic AI products.
• Strong practical knowledge of prompting, evaluation frameworks, agent frameworks, MCP, or comparable AI orchestration technologies.
• Strong understanding of cloud-native architecture, preferably AWS or an equivalent cloud platform.
• Experience with API design, distributed systems, modern CI/CD practices, and production-grade software engineering.
• Proficiency in TypeScript and/or Python.
• Demonstrated success hiring, coaching, mentoring, and developing engineers while managing evolving technical scope.
• Strong stakeholder management and communication skills, with the ability to collaborate effectively across Product, business units, Security, Compliance, and technical teams.
• Experience operating in regulated environments such as fintech, lending, payments, or other highly controlled industries is a plus.
• Experience integrating AI or agentic development tools into the software development lifecycle to improve engineering productivity is advantageous.
• Strong architectural judgment and the ability to balance innovation with security, reliability, compliance, and operational excellence. -…