Vice President, AI Engineering

Komodo Health • San Francisco, CA

3d • $250,000 - $375,000 • Hybrid

About The Position

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.
The Opportunity at Komodo Health:
As VP of AI Engineering, you will own the technical foundation for AI across Komodo Health— designing the agent runtimes, orchestration layers, evaluation systems, and reference architectures that every product and engineering team builds on. You’ll lead a team of engineers and data scientists scaling Marmot, our generative AI platform that transforms complex healthcare data into enterprise-grade insights, while establishing the standards, observability, and governance required to deliver AI in a regulated healthcare environment. You will define reference architectures, establish engineering standards, influence build-versus-buy decisions, and act as a force multiplier across teams. This requires deep hands-on expertise in LLM-based systems and a builder’s mindset as you don’t just set direction, you ship infrastructure.
Looking back on your first 12 months at Komodo Health, you will have accomplished...
Established AI Engineering Standards: Defined reference architectures, shared evaluation frameworks, and governance models that give teams a reliable, auditable foundation to build on — not just a roadmap deck.
Hardened the AI Platform for Scale and Trust: Built evaluation, regression testing, observability, and lifecycle governance layers into Marmot — bringing the same rigor you’ve applied in other high-trust environments to healthcare.
Made AI-Native Development the Default: Teams across engineering actively use AI development tools (Claude Code, Copilot, etc.) for design, prototyping, refactoring, and system reasoning — because you modeled it yourself and built it into the workflow.
Secured Strategic Alignment: Partnered effectively with the C-Suite, Product, and Sales leadership to ensure AI infrastructure directly supports Komodo’s most critical commercial outcomes and platform efficiency goals.

Requirements

• You're a Technical Visionary who brings 10+ years of experience leading technical organizations within B2B SaaS or high-scale data environments, with a proven track record of scaling revenue-critical platforms.
• Proven track record designing and shipping foundational AI infrastructure including agent runtimes, orchestration layers, evaluation frameworks, and observability — that other engineering teams build on. You’ve engineered deterministic control planes around probabilistic models and know what it takes to make LLM-based systems reliable at scale.
• Deep experience delivering AI systems in regulated, high-trust environments with built-in auditability, regression testing, and lifecycle governance. Healthcare, fintech, defense, govtech — the domain matters less than the rigor. You’ve written production-grade Python and integrated modern GenAI tooling into platforms where compliance and reliability are non-negotiable.
• Demonstrated use of AI tools as force multipliers in your own engineering workflow whether that’s Claude Code, Copilot, or similar systems for design, prototyping, refactoring, and system reasoning. You don’t just build AI for others; you leverage it to move faster yourself.
• Proven leadership building high-performing AI/ML teams with a hands-on, service-oriented approach. You’ve scaled engineering organizations in fast-moving environments and know how to build a culture where AI-native workflows are the default, not the exception.

Nice To Haves

• Healthcare, life sciences, or health data domain experience

Responsibilities

• AI Platform Architecture: Design and ship agent runtimes, orchestration layers, and shared evaluation systems that other teams depend on. Define reference architectures and engineering standards across the AI org.
• LLM Systems Engineering: Own the integration of Large Language Models and NLP systems into production, engineering deterministic control planes around probabilistic models to ensure reliability at scale.
• Trust and Compliance Engineering: Build auditability, regression testing, and lifecycle governance into every AI system. This is healthcare — reliability and data integrity are non-negotiable.
• Build vs. Buy Decisions: Evaluate, select, and integrate AI tooling and vendor solutions with clear-eyed technical judgment. Know when to build internally and when to leverage external platforms.
• Cross-Functional Force Multiplication: Partner with Engineering, Data Science, Product, and IT to embed AI capabilities into core data-linking, normalization, and analytical workflows — accelerating speed-to-insight across the organization.
• Technical Advisory to Leadership: Serve as the primary technical advisor for senior stakeholders, translating complex AI systems concepts into clear, decision-ready strategy.

Benefits

• comprehensive health, dental, and vision insurance
• flexible time off and holidays
• 401(k) with company match
• disability insurance and life insurance
• leaves of absence in accordance with applicable state and local laws and regulations and company policy
• performance-based bonuses
• equity awards

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed