Full Remote - Ai/ml Engineering Manager - Interoperability & Api Engineering Salary $132,181 To $174,478 Location Full Remote, Full Remote Zip Code Full Remote

Intermedia Group

Full Remote, Full Remote
Base: $132,181 to $174,478; bonus/equity: bonus el...
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Ai/ml
Azure ai foundry
Api engineering
** The Intermedia Group is seeking a fully remote AI/ML Engineering Manager specializing in Interoperability and API Engineering. The ideal candidate should have extensive experience in software engineering, leadership, and hands-on proficiency with AI/ML technologies, particularly in the healthcare domain. **

Job Summary

  • This role is a hands-on technical leader accountable for driving the delivery of production-grade APIs, integrations, and AI/ML–enabled services within the Interoperability & API Engineering team.
  • The Engineering Manager will architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.
  • Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements, as well as apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicable.

Matching Summary

Match Score: 75

** The Intermedia Group is seeking a fully remote AI/ML Engineering Manager specializing in Interoperability and API Engineering. The ideal candidate should have extensive experience in software engineering, leadership, and hands-on proficiency with AI/ML technologies, particularly in the healthcare domain. **

Salary

Base: $132,181 to $174,478; Bonus/Equity: Bonus eligible; Benefits: Not specified

Skills & Requirements

Must-have

  • AI/ML
  • Azure AI Foundry
  • API Engineering
  • Interoperability
  • Python/Node.js
  • Cloud-native solutions
  • MLOps patterns
  • REST/GraphQL API design
  • Microservices patterns
  • OAuth2/JWT/Entra ID
  • Event-driven architectures
  • FHIR/HL7/EDI

Nice-to-have

  • Healthcare domain experience
  • Docker/Kubernetes
  • Azure ML/MLflow/Databricks

Key Requirements

  • Bachelor’s degree in relevant field; master’s degree preferred
  • Minimum of eight (8) years in software engineering
  • At least three (3) years in a team leader or senior engineering capacity
  • Minimum of two (2) years of hands-on experience with AI/ML
  • Prior experience in healthcare, interoperability, or API-heavy environments is a must
  • Familiarity with MLOps tools and container ecosystems
  • Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred

Work Rights

Not specified

Tailored Resume

Cover Letter