Forward Deployed Engineer

Location: 1600 Corporate Center Dr., Monterey Park, CA 91754

Compensation: $100,000 - $140,000 / year

Department: Software Engineering

Astrana is building a high-impact AI transformation team focused on solving the most important problems across the business. The role is straightforward: identify where the organization is losing time, outcomes, or value – and build systems that fix it.

This means working directly with the people running our markets, understanding how the work actually gets done, and building entirely new tools, automations, and applications from the ground up.

This position operates under a hybrid work model, with a combination of in‑office and remote work each week. Office locations include Monterey Park, CA;
Orange County, CA; and Las Vegas, NV.

You will embed directly within clinical, operations, and market teams and build systems that change how care is delivered and how the business performs.

In a given month, you might:

• Build an AI‑driven tool to help care teams prioritize high‑risk patients
• Automate a workflow that is currently manual and impacting revenue or cost
• Deploy an LLM‑based system on top of messy clinical or claims data
• Create internal tools that providers and operators rely on every day

This role is about shipping real systems that work in the real world – not prototypes or isolated experiments.

Healthcare is nearly 20% of U.S. GDP
, yet remains fragmented, inefficient, and misaligned.

Astrana is building a new category: a technology‑driven healthcare platform that sits across payers, providers, and care delivery – integrating clinical, claims, and operational data and enabling decisions based on total patient outcomes, not isolated transactions. Astrana is building the operating layer for healthcare delivery.

Astrana today:

• $3.2B in revenue in 2025,
  growing 56% year‑over‑year
• 1.6M+ patients under management across a national platform

Why do this here vs somewhere else:

• You are early, despite meaningful scale

The platform is already large and growing quickly, but this capability is still being built – giving you outsized influence and career opportunity.

You can actually change the system, not just analyze it

Astrana operates under delegated risk, with real responsibility for cost and outcomes – so what you build can directly influence decisions and behavior.

There is immediate, real‑world deployment at scale

You are not building pilots or internal tools that may or may not be adopted. You are building into workflows used across a large and growing population.

The incentives are aligned with the problem

Improving outcomes while reducing cost is the business model – making AI, automation, and coordination economically meaningful from day one.

You have executive backing and speed

AI is a core priority with direct CEO sponsorship, enabling fast iteration from idea to production.

You are surrounded by strong builders

Our team includes engineers and operators from leading tech companies (Google, Amazon, etc), top quantitative firms (Citadel, D.E. Shaw), and strong academic backgrounds.

• Work directly with clinical, operations, and market teams to understand how work actually happens
• Identify high‑impact problems affecting cost, quality, and patient outcomes
• Rapidly design and build tools, automations, and AI systems used in production
• Work with complex, messy datasets (clinical, claims, operational)
• Build across the stack: data pipelines, APIs, models, and user‑facing applications
• Iterate quickly based on real‑world feedback
• Help shape how technology is adopted across the organization

• Build things without being asked
• Get deeply curious and go down rabbit holes to understand problems
• Are comfortable operating with ambiguity and figuring things out from first principles
• Care about impact and usefulness more than perfection
• Want their work to be used immediately by real people

• You have built and shipped systems that real users depend on
• You have worked with real‑world, messy data
• You have hands‑on experience with LLMs, RAG systems, agents, or applied ML
• You can go from idea to working product quickly
• You…