Vice President, AI Engineering

Confirmed live in the last 24 hours

Komodo Health

Compensation

$250,000 - $375,000/year

San Francisco, California

Hybrid

Posted March 30, 2026

Job Description

We Breathe Life Into Data

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.

These are the essential job duties you will be responsible for...

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.