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Our client provides food, ingredients, agricultural solutions, and industrial products. 160,000 employees operating in 70 countries. This position is in the company's food and bio industrial business, where manufacturers, retailers, and foodservice companies rely on us to consistently deliver the products and services they need and use our technical expertise and market knowledge to develop innovative products.
AI/ML Engineering Manager
Location
Worldwide
Posted
79 days ago
Salary
$132.2K - $174.5K / year
Seniority
Lead
No structured requirement data.
Job Description
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.
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