Forward Deployed Engineer (Claims Ops)

Astrana Health, Inc.•Monterey Park, CA

2d•$120,000 - $180,000•Hybrid

About The Position

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.

Requirements

Experience building and deploying production systems
Strong technical fundamentals and problem-solving ability
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.

Nice To Haves

B.S., M.S., PhD in Computer Science, Mathematics, Physics, or a related technical field
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

Responsibilities

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