[Hiring] AI/ML Engineering Manager @Intermedia Group

Role Description

We are seeking an Engineering Manager that ideally has successful leadership abilities, hands on with AI/ML, Azure AI foundry with prior working experience in the healthcare domain.

The Engineering Manager 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.

This role mirrors the technical leadership engineering rigor serving as the technical anchor for a dedicated team while enabling broader organizational scaling.

The Engineering Manager will:

• Architect solutions, mentor engineers, and build proof of concepts (PoCs).
• Enforce engineering excellence and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.

This role is different because the Engineering Manager:

• Directly shapes secure, compliant, production-grade systems that power care for vulnerable seniors.
• Makes decisions that directly affect healthcare delivery, compliance, and participant outcomes.

On the day-to-day, you will:

• Technical Leadership & Hands-On Engineering:
  • Lead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems.
  • Act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting complex issues, and performing rigorous code reviews.
  • Build scalable, cloud-native solutions using Azure, containerized workloads (Docker/Kubernetes), and modern integration frameworks.
• AI, Automation & MLOps Integration:
  • Implement repeatable MLOps patterns for model deployment, monitoring, and lifecycle management.
  • Build prototype PoCs that validate new technologies, workflows, or AI-enabled automations before scaling to production.
• Team Leadership, Mentorship, & Execution:
  • Lead and mentor a team of engineers, fostering a culture of innovation, ownership, and continuous learning.
  • Step in as the escalation point for technical blockers, guiding the team toward solutions.
• Cross-Functional Partnership:
  • Collaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints.
  • Translate complex technical designs into clear communication for non-technical stakeholders.
• Security, Compliance & Healthcare Standards:
  • Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements.
  • Apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicable.

Qualifications

• Bachelor’s degree in relevant field; master’s degree preferred.
• Minimum of eight (8) years in software engineering, with 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, Azure AI Foundry, AI Foundry agents, or related AI integration frameworks.
• Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must.
• Prior experience in healthcare, interoperability, or API-heavy environments is a must.
• Proficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architectures.
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems.
• Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred.

Requirements

• MS WORD Resume.
• Required compensation.
• Contact information.
• Availability.

Benefits

• Base salary: $132,181 to $174,478.
• Bonus eligible.

Company Description

Our client is a leading health care provider which helps seniors stay in their homes and communities by providing medical care and community-based services.