AI/ML Engineering Manager
6 Month Contract
100% Remote
Start Date: ASAP
Job Description:
The AI/ML Engineering Manager is a hands-on technical leader responsible for growing, and managing project efforts for, a small team of engineers tasked with delivering scalable, production-grade systems for the dual goals of clinical research data enablement and AI applications. The individual will guide the development of AI-powered clinical decision support tools, secure and scalable research data pipelines, and a reimagined enterprise analytics platform built on Microsoft Fabric and Azure Databricks. The ideal candidate combines deep technical skill with a focus on execution—able to design, build, and coach in equal measure.
Responsibilities:
- Lead, mentor, and manage a team of software and platform engineers responsible for AI solution development, MLOps infrastructure, and data platform administration
- Manage the execution & delivery of strategic projects related to EHR data de-identification using Azure DataBricks, and leading Microsoft-based AI solution development as a hands on product owner, leveraging Java/Python and aligning solutions with clinician needs
- Drive the successful delivery of applied AI projects, including LLM-enabled applications, clinical decision support tools, and patient cohort analytics
- Own and evolve the team’s engineering practices, including source control workflows, CI/CD pipelines, IaC, observability, testing, and release processes
- Partner with your Enterprise IT Architect team member on architecture decisions related to AI/ML systems, data platforms, and APIs, balancing performance, maintainability, and security
- Support responsible AI development by contributing to risk assessments and governance reviews
- Collaborate closely with IT, research, clinical, and vendor partners to translate needs into buildable technical plans
- Support team growth and cohesion, and enable a culture of collaboration within and outside your immediate team
- *Oversee the development and enhancement of cloud-based data platforms, ensuring reliable, secure, and performant access to health system and research data
- *Partner with enterprise data engineering and analytics teams to advance our platform strategy, including adoption of Microsoft Fabric and Databricks for modern ELT, mirroring, and data productization
Required Qualifications:
- Management or team lead experience
- Azure-based app development
- Python
- LLMOPS and MLOPs platform experience (Mlflow, PromptFlow, etc.)
- Experience with Generative AI and NLP tools (Azure OpenAI, John Snow Labs, etc.)
- Healthcare experience
Preferred Qualifications:
- Cloud data platforms including Microsoft Fabric, Databricks, and associated Azure services (e.g., OneLake, Delta Lake)
- Specific healthcare data technologies like Epic Cogito, FHIR, and OMOP
