Senior Integration Engineer (US)
AI summary of the role
Senior Integration Engineer owning clinical data and AI agent interoperability across Innovaccer's on-premise platform.
What you’ll do
- Build and operate inbound HL7 v2 feeds (ADT, ORU) over MLLP with acknowledgment handling, error queues, and replay.
- Design outbound clinical delivery paths through gateway-controlled egress in a default-deny network model.
- Implement FHIR R4 APIs and resource mappings against standard implementation guides with terminology handling.
- Build agent interoperability surfaces: MCP servers, HMCP patterns, and A2A flows with proper auth.
What you’ll bring
- 5+ years of healthcare integration or interoperability engineering experience.
- Strong working knowledge of FHIR R4: resources, profiles, search, and implementation guides (US Core or equivalent).
- Hands-on HL7 v2 experience: message structures, segments, acknowledgments, and MLLP transport.
- Working knowledge of REST API design, OAuth2, and mutual TLS.
Technologies
HL7 v2 · MLLP · FHIR R4 · US Core · Model Context Protocol (MCP) · HMCP · Agent-to-Agent (A2A) · OAuth2 · mutual TLS · SMART on FHIR · SNOMED CT · LOINC
About Innovaccer
Innovaccer sells a healthcare-native data and AI platform that unifies clinical, operational, and financial data so providers, payers, pharmacies, public-sector teams, and life-sciences organizations can run analytics, workflow automation, and AI copilots on top of a shared intelligence layer.
Series F · 1000–2000 people
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