Head of AI Engineering

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Head of AI Engineering will own the architecture, execution, and evolution of AI platforms while ensuring reliability, safety, and scalability across production systems.

• 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.

Requirements:

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, executives, product teams, and non-technical stakeholders.
• Proven ability to operate independently, make strategic decisions, and create clarity in fast-moving environments.
• Strong ownership mindset with the ability to take responsibility for outcomes, reliability, and continuous improvement.

Preferred qualifications include:

• Experience building AI platforms, agent runtimes, SDKs, evaluation systems, or shared AI infrastructure.
• Experience developing customer-facing AI agents, transactional systems, or high-volume automation platforms.
• Background working with healthcare, finance, insurance, or other high-impact industries requiring reliability and compliance.
• Experience fine-tuning, evaluating, or deploying open-weight AI models in production.
• Experience with long-term memory systems, personalization, real-time AI applications, or streaming architectures.
• Experience collaborating directly with AI model providers on technical integrations, evaluations, and performance optimization.
• Strong ability to identify and recruit exceptional AI engineering talent.

Benefits:

• Competitive compensation package ranging from $200,000 to $400,000 annually, plus equity opportunities.
• Fully remote work environment with flexibility across global time zones.
• Comprehensive medical insurance coverage.
• Paid time off with a yearly minimum allowance and local public holidays.
• Annual personal development budget for books, courses, and coaching.
• Wellness budget to support fitness, health applications, and personal wellbeing.
• Access to regular health coaching sessions.
• Company-provided MacBook and work-from-home equipment as needed.
• Opportunity to shape engineering culture and influence the future direction of AI innovation.
• Chance to work on mission-driven technology impacting healthcare accessibility and delivery.