Senior Platform Engineer - AI

Do you have experience in Technical solutions implementation?, * Six or more years building production backend systems, with at least two at senior IC level.

• Deep experience designing and operating cloud-native, Kubernetes-based services in production. AWS experience is a plus.
• Hands-on fluency with at least one mainstream LLM application stack (LangGraph, Bedrock AgentCore, Langfuse, or equivalent).
• Strong written communication. Design documents and decision records are reviewed before implementation begins on this team.
• Personal experience using AI tools in your own engineering work (Claude Code, Cursor, custom MCP servers, agentic side projects, or similar) is valued. We want teammates who use the tools they build platforms for.
• Healthcare data experience (PHI, HIPAA, BAA workflows) or other regulated-platform background (FedRAMP, HITRUST / HITRUST AI, NIST AI RMF, SOC 2 Type 2) is a strong plus.

(part of Datavant) 2.82.8 out of 5 stars Chicago, IL Remote $180,000 - $220,000 a year

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

We’re looking for a Senior Platform Engineer to join a brand-new team building the platform that helps Datavant teams run AI agents safely and reliably. You bring production experience with the modern LLM application stack (agent frameworks, retrieval, evaluations, observability, CI/CD for agentic systems) and the operational discipline that comes from running these kinds of systems in regulated environments. You write code daily, prefer shipping the smallest thing that solves the problem to designing the perfect solution that doesn’t ship, and build guardrails rather than gates.

You partner widely without claiming territory that isn’t yours. You believe a platform is only adopted when it makes the secure, observable, governed path the easiest path. You ask why things are the way they are before changing what other teams have built, and treat decisions as artifacts that get written down so reviewers can reconstruct the reasoning months later.

We practice compound engineering: each platform component we ship is also an investment in how the next one gets built. We work in tight loops (build, evaluate, refine, codify) and treat the patterns we learn as artifacts encoded into tooling and reusable substrate rather than tribal knowledge.

What You Will Do

• Build foundational pieces of the AI Platform alongside the Staff Engineer, the VP, and the rest of the team.
• Ship the platform components that teams will rely on, from MCP servers and agent runtime patterns to identity and policy enforcement, eval gates, and observability instrumentation, depending on where the team needs you.
• Pair with the first vertical teams onboarding agents through the platform. The platform is only as good as the experience of the people consuming it.
• Mentor a mid-level engineer; raise the technical bar through code review and pair programming.
• Carry the pager. Operate what you build.