Principal Software Engineer - Agent AI Platform
Required skills
- Principal Engineer
- Technical Owner
- Platform-level Outcomes
- AI-native tooling
- Agentic AI-assisted development
- Distributed Systems
- Data Infrastructure
- Service Architecture
- Observability
- On-call
Nice to have
- Healthcare technology
- HIPAA
- Regulated data domain
- Incubating new product directions
- Greenfield platform capabilities
- Speaking
Role summary
Arcadia is seeking a Principal Software Engineer to own technical direction and platform-level outcomes. This role involves leading cross-team initiatives, defining technical standards, and driving the adoption of AI-native development practices. You will mentor senior engineers, ensure system health and scalability, and engage with customers. The ideal candidate has deep expertise in distributed systems, data infrastructure, and service architecture, with a proven track record of owning complex systems from design through operation. Experience with AI-assisted development and mentoring is crucial. Familiarity with healthcare technology and regulated data environments is a plus.
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.
What You'll Be Doing
- Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code.
- Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE.
- Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn.
- Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review.
- Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience.
- Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability.
- Own it in production: SLOs, on-call, incident response, and postmortems.
- Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact.
What You'll Bring
Would Love for You to Have
What You'll Get
Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
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