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Senior AI Platform Engineer

Komodohealth

San Francisco, CA (New York City, Remote (United States), San Francisco) Remote permanent

Posted: January 13, 2026

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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:

Healthcare in the U.S. is a mess. Komodo Health is fixing that—with data. We’ve mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers—pharma companies, payers, and health systems—use this data to make decisions that meaningfully improve patient outcomes.

Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo’s AI-native product—designed with AI embedded directly into both the interface and the development workflow. By combining Komodo’s unmatched healthcare data with modern LLMs, marmot is delivering some of the most compelling real-world insights of the new AI era.

As part of marmot, we are building an enterprise-grade AI platform. This work sits at the intersection of AI agent architectures, complex data engineering, advanced data science, and messy healthcare data—and requires engineers who want to build systems, not just pipelines.

Mission of the Role:

As a Senior AI Platform Engineer, you own the design and delivery of production-grade AI platform systems end-to-end. This role exists to translate emerging AI capabilities into reliable, scalable infrastructure while establishing repeatable patterns that accelerate AI development across Komodo.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Shipped production-grade AI platform components that materially improve scalability, reliability, or development velocity.

• Led architecture and design for complex AI systems, including agent workflows, orchestration layers, and evaluation pipelines.

• Translated applied research and experimentation into deployable, maintainable AI systems.

• Built evaluation, monitoring, and A/B testing frameworks to measure AI performance and impact in production.

• Partnered with data, product, and platform teams to integrate AI capabilities into core workflows.

• Improved AI infrastructure and MLOps workflows, including versioning, CI/CD, and observability.

• Mentored engineers on AI system design, debugging, and platform best practices.

What You’ll Own:

• Architecting, building, and deploying end-to-end AI platform systems.

• Designing reusable agent patterns, orchestration flows, and evaluation frameworks.

• Contributing to internal AI standards, templates, and platform conventions.

• Transitioning prototypes into scalable, well-governed production systems.

What you bring to Komodo Health (required):

• Proven experience building production AI systems or platforms end-to-end.

• Strong Python fluency and experience with LLMs, agent orchestration, and modern GenAI frameworks.

• Solid foundation in data engineering and platform-aware system design.

• Experience collaborating closely with infrastructure and platform teams.

Expectations of AI Use in this role (required):

You will actively experiment with new AI techniques, contribute to shared platform patterns, and help scale AI development across Komodo through high-leverage systems and best practices.

Additional skills and experience we’d prioritize (nice to have)…

• Healthcare data experience.

• Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.

** Location flexible to NYC or SF hybrid, and remote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:
$220,000—$253,000 USD

All Other US Locations:
$191,000—$220,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.

What We Offer

Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.

This notice explains how we collect, use, and retain applicant data.

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