Head of AI Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI Engineering based in United States.

The Head of AI Engineering will lead the development of advanced AI systems that power next-generation healthcare experiences.
This role focuses on building scalable AI platforms, agent architectures, and reliable production systems that enable intelligent automation.
The successful candidate will define AI engineering strategy, own critical technical decisions, and establish best practices for applied AI development.
Working at the intersection of software engineering, machine learning, and product innovation, this leader will transform experimental AI capabilities into robust real-world solutions.
The role combines hands-on technical leadership with team building, platform ownership, and close collaboration across engineering, product, and clinical teams.
This is an opportunity to shape the future of AI-driven healthcare by creating systems that are safe, scalable, and impactful.

• Build and lead the development of an internal AI Agent SDK that enables engineers to create powerful, reliable, and reusable AI applications.
• Define AI architecture strategy, including agent frameworks, orchestration, context management, retrieval systems, memory, tooling, workflows, and runtime infrastructure.
• Serve as the technical owner for production AI systems, ensuring continuous improvement in quality, reliability, performance, and cost efficiency.
• Develop evaluation frameworks using automated checks, simulations, human feedback, and production outcomes to measure and improve AI system performance.
• Establish safe AI operating practices through authorization controls, validation processes, auditability, recovery mechanisms, and appropriate human escalation paths.
• Own model strategy, including model selection, routing, optimization, experimentation, fine-tuning approaches, and deployment decisions based on measurable outcomes.
• Build production observability, monitoring, testing, and incident response capabilities for AI-powered systems.
• Partner closely with engineering, product, and domain experts to translate complex business challenges into scalable AI solutions.
• Provide technical leadership, mentor engineers, establish engineering standards, and grow a high-performing applied AI team.
• Remain hands-on by contributing production code and personally building foundational AI capabilities while guiding broader technical direction.
• Develop strong relationships with external technology providers and represent the organization within the AI engineering community.

The ideal candidate is an experienced AI engineering leader with strong software engineering fundamentals, a proven ability to ship production AI systems, and the technical judgment required to operate in complex environments.

• 8+ years of software engineering experience with continued involvement in production development.
• Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.
• Demonstrated experience building and launching production-grade AI agents capable of reasoning, using tools, managing state, and operating under real-world constraints.
• Deep understanding of AI agent architectures, including orchestration, retrieval, memory, context construction, workflows, and error recovery.
• Experience designing evaluation systems for AI products, including benchmarking, simulations, regression detection, and production performance measurement.
• Strong systems engineering background with expertise in APIs, distributed systems, databases, observability, reliability, and scalable infrastructure.
• Ability to design AI systems that support safe and controlled execution of consequential actions.
• Strong understanding of modern AI models, including their capabilities, limitations, optimization approaches, and appropriate use cases.
• Experience leading engineering teams, setting technical direction, mentoring developers, and maintaining high execution standards.
• Ability to communicate complex technical concepts clearly to engineers,…