Senior AI Engineer, Forward Deployed

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 more than 330 million Americans to build the most complete picture of disease burden and treatment patterns in existence. Our customers—pharma companies, payers, and health systems—use this data to make decisions that materially improve patient outcomes.

Komodo's Labs team builds Marmot—our AI-native product, powered by an MCP Gateway architecture that connects our data platform to the tools customers need. The Forward Deployed Engineering team is where Marmot meets the real world. We take what Labs builds and deploy it at scale inside the most complex enterprise environments in healthcare: customer infrastructure, strict compliance requirements, and integrations that vary with every engagement.

We sit at the intersection of Engineering and Revenue: we build, we deploy, and we own the outcome in production. We are a small team with an outsized footprint. You’ll work on some of our most complex and visible customer deployments.

Mission of the role

As a Senior AI Engineer, Forward Deployed, you will own end-to-end delivery for some of our most technically demanding customer engagements — from solution architecture through deployment inside a customer’s own cloud, data infrastructure, and compliance environment.

This is a deeply technical engineering role with direct customer context. You will write production code, design cloud-native deployment patterns, build integrations, develop MCP servers that extend the Komodo platform into a customer’s stack, and debug issues in environments you do not fully control.

You will be trusted to own complex work from start to finish: translating customer requirements into scalable, product-adjacent solutions, communicating clearly with technical and non-technical stakeholders, and making sure customers and internal partners always know where things stand.

You will see your work land. Engineers on this team ship real solutions under real constraints — and watch them run in production.

How we work

The Forward Deployed Engineering team operates with a clear principle: own your work end to end. Solutions should be designed to minimize unnecessary cross-team dependencies and give engineers the autonomy to move quickly, make decisions, and ship.

That autonomy comes with real technical judgment. Engineers on this team are constantly balancing speed and rigor — moving fast enough to prove customer value while building solutions strong enough to run in production. Engagements can range from single-tenant deployments inside a pharma company’s private cloud, governed by strict data segregation and compliance requirements, to real-time agentic workflows processing data at scale.

This role is best suited for someone who enjoys ambiguity, takes initiative, and is energized by solving complex problems in close partnership with customers.

In your first 90 days, you will have:

• Learned the Marmot platform end to end, including the agent loop, MCP Gateway integration surface, and deployment toolchain that allows FDE to stand up isolated customer environments independently.
• Shipped your first customer-facing deliverable, such as a new MCP server, Databricks/Delta Lake integration, or agentic workflow — and seen it run in a real customer environment.
• Built strong working relationships with Sales, Solutions Engineering, and Product partners, with a clear understanding of who owns what and where you create leverage.
• Mapped the technical gaps in your first customer deployment and proposed a concrete plan to close them.

By the end of your first year, you will have:

• Led end-to-end delivery of at least one high-complexity customer deployment, standing up AI-native solutions inside a customer’s own cloud environment and delivering outcomes with measurable business impact.
• Built and shipped production-grade agentic workflows and MCP servers that solve customer-specific problems.
• Established yourself as a trusted technical partner to senior customer stakeholders by leading architecture reviews, navigating compliance constraints, and helping convert pilots into broader programs.
• Contributed reusable deployment patterns to the FDE playbook, creating frameworks the team can rely on for future customer engagements.
• Participated in Komodo’s architecture governance, influencing platform decisions based on what you have seen and built in the field.
• Partnered cross-functionally with Sales, Product, Data, and Core Engineering to close gaps and shape the roadmap.

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

• Design, build, and deploy AI solutions inside customer environments, adapting Komodo’s platform to fit their cloud infrastructure, systems, data contracts, and compliance requirements.
• Build MCP servers, agentic workflows, and custom integrations that close platform gaps and help customers get to value quickly.
• Own the infrastructure layer for customer deployments, including Terraform-managed AWS environments, VPC networking, IAM, security controls, and data isolation requirements.
• Work with data at scale across tools like Databricks, Delta Lake, Snowflake, and S3 — debugging pipeline failures, optimizing performance, and building integrations that hold up in production.
• Drive day-to-day technical engagement with customer stakeholders by scoping work, communicating progress, surfacing risks early, and building trust over time.
• Serve as a field signal to Core Platform by translating deployment friction into roadmap input and participating in architecture governance.
• Help build the FDE playbook through reusable patterns, deployment templates, and engineering standards the team can scale.

What you bring to Komodo Health (required):

We know strong candidates may not have every tool listed below. We’re most interested in people who have shipped production systems, can learn quickly, and can operate across AI, infrastructure, data, and customer-facing technical work.

• 7+ years of software engineering experience, including at least 2 years shipping production agentic AI systems and 3+ years owning cloud infrastructure. We care about what you've shipped.
• Production-grade agentic AI: multi-agent workflows and LLM-powered tools in production. You know what breaks and why. LangGraph, Strands, CrewAI, or equivalent in your regular toolkit.
• AWS + Terraform: you write IaC, understand VPC networking and IAM, and can stand up an isolated single-tenant deployment in a customer's environment.
• Security and networking judgment, especially in enterprise or regulated environments. You understand data isolation, customer security requirements, and compliance considerations such as SOC 2, BAA, HIPAA, or TPA — and you design with those constraints in mind.
• Strong application engineering skills at system scale, including production Python, async service patterns, API development, and building software other teams or businesses depend on.
• Data platform experience with tools like Databricks, Delta Lake, Snowflake, S3, or similar systems. You can debug integration failures, optimize performance, and design pipelines that are reliable under production load.
• MCP server development or equivalent experience building integration surfaces for AI systems. Core to the role.
• Customer-facing technical leadership, including leading architecture discussions with senior customer engineers, explaining trade-offs clearly, and driving technical alignment without needing to hand off the conversation.
• Comfort operating across ambiguity, with the ability to stitch together solutions across infrastructure, application, data, and AI layers, find a path when one does not already exist, and deliver on what you commit to.

Nice to have:

• Experience with LLM evaluation frameworks in production, such as LangSmith, Braintrust, Ragas, or equivalent tools.
• Familiarity with healthcare or life sciences data, including IQVIA data structures, pharma customer workflows, payer data contracts, or similar data environments.
• Experience with API gateway or service mesh patterns used for AI tool integration.
• Contributions to shared platform infrastructure, including code committed to shared repos, participation in architecture reviews, or tooling that other engineers depend on.
• Experience deploying in regulated environments with data residency, audit logging, or multi-party data access constraints.

A Note On Travel:

This role does not require regular travel. That said, some high-complexity deployments may benefit from occasional on-site customer engagement. When those moments arise, being in the room can make a meaningful difference — helping build trust, strengthen relationships, and turn a customer engagement into a long-term partnership.

#LI-Remote

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 with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

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. 

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