Forward Deployed Engineer

Astrana Health

Job Location:

Monterey Park, NM - USA

Yearly Salary: $ 120000 - 180000

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Software Engineering

Job Summary

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.

What This Role Involves

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.

Why this role - and why Astrana

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.

This is not a concept. It is already working. 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.

What Youll Do

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

Who this is for

This role is for people who:

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

Strong signals

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 have taught yourself tools or technologies

Qualifications

Experience building and deploying production systems
Strong technical fundamentals and problem-solving ability
Preferred: B.S. M.S. PhD in Computer Science Mathematics Physics or a related technical field
1-3 years of experience in software engineering data engineering ML AI or related fields (flexible for exceptional candidates)

We are open to exceptional new graduates and early-career engineers who demonstrate strong builder instincts and high potential.

Environmental Job Requirements and Working Conditions

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.
The target salary range is $120000 - $180000 with potential for equity participation. Final compensation will be based on geographic location experience and overall qualifications.

Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics. All employment is decided on the basis of qualifications merit and business need. If you require assistance in applying for open positions due to a disability please email us at to request an accommodation.

Additional Information:

The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.

Required Experience: