Arcadia

Principal Software Engineer - Agent AI Platform

Remote (USA)RemoteFull timeEngineering

$250K – $350Kposted range

Range as posted by the employer.

Posted 1 month ago · listed on Lever

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Should you apply?

Open: 54 days; Open a while. Either hard to fill or the process is slow. A direct note to the recruiter helps here.
Open roles at this company: 16; A few open seats. Your application will get a real look.
Salary: Posted; The employer put pay in writing. Anchor on it in the first conversation.

Days open comes from the posting date. Fill time and reposting rate come from this company's recent public postings, last refreshed May 20.

The job, broken down

This is a Principal Software Engineer role at Arcadia, a healthcare data platform company. You'd own a platform domain end to end, drive multi-team technical initiatives, and coach Senior Engineers while setting the standard for how the org uses AI in engineering.

What you'd actually do

Own a platform domain's technical health, scalability, and customer-facing outcomes
Drive multi-team or platform-level initiatives from requirements and architecture through implementation, rollout, and observability
Do design reviews, code review, and pairing to coach Senior Engineers
Align with Product, Engineering Management, and cross-team partners on which technical investments matter most
Build and spread AI-native tooling, workflows, or patterns for other teams to adopt
Define a measurable bar for how engineers use agentic AI-assisted engineering across teams

Must-haves

Experience owning a technical domain end to end, from requirements through long-term operation
Track record leading multi-team or platform-level initiatives
Experience coaching or mentoring Senior Engineers through design and code review
Hands-on experience building and spreading AI-assisted engineering tools or workflows
Ability to work cross-functionally with Product and Engineering Management

Nice to have

Background in healthcare data or health tech platforms
Experience defining org-wide engineering standards or bars for practice adoption

Read before you apply

No mention of pay or compensation range
No listed tech stack, required years of experience, or concrete technical skills
Heavy emphasis on scope and ownership language ('own the complete vertical slice', 'multi-team initiative') without describing team size, reporting structure, or support resources
Success metrics are all narrative and aspirational (12-month vision) rather than defined day-to-day responsibilities, which makes it hard to judge actual scope before applying

Written from the posting text only. Check the full description below before you decide.

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Steps to get this job

1In your resume/cover letter, mirror the phrase 'own the complete vertical slice' by describing a specific project where you took something from requirements to long-term operation
2Lead with a concrete example of coaching a Senior Engineer through design or code review and the measurable outcome
3Have one story ready about building an AI-assisted engineering tool or workflow that other teams adopted, since this is called out three times in the posting
4Prepare a short answer for how you've driven a multi-team initiative and aligned Product, Engineering Management, and other stakeholders, since that's listed as a 3-month expectation

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What it's like to work at Arcadia

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About the role

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.

For more information, visit arcadia.io.

Why This Role Is Important to Arcadia

Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale.

You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it.

How We Build

Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands.

Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework.

What Success Looks Like

Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI.

Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers.

Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks.

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