MLOps Engineering Manager

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Systems Development Manager-Data Platform & AI Engineering Manager

Req#:656457

Monday-Friday (8:30-5)

Hybrid/Remote

In the office 1-2 days a month on a regular basis with additional days for Special Projects and Go Lives.

Johns Hopkins

750 E. Pratt St., 5th Floor

Baltimore, MD 21202

Johns Hopkins Medicine is building a new generation of AI and data-powered tools that accelerate discovery, improve clinical decision-making, and reduce operational burden across the health system. As a Manager within the Platforms & Integrations team, you will lead engineering efforts at the intersection of applied AI and modern cloud data platforms-powering precision care, accelerating discovery, and enabling scalable software solutions for one of the world's premier health systems. This is a high-impact role for a technically sophisticated leader who thrives in a collaborative, mission-driven environment.

General Position Summary: The MLOps Engineering Manager is a hands-on technical leader responsible for growing a team of engineers and data scientists delivering scalable, production-grade systems for the dual goals of clinical research data enablement and AI applications. You will guide the development of clinical decision support tools, multimodal de-identified data assets, and model evaluation toolkits. The ideal candidate combines deep technical skill with a focus on execution-able to design, build, and coach in equal measure.

Key Responsibilities:

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  Lead, mentor, and manage a team of engineers responsible for AI solution development and MLOps / LLMOps infrastructure.
  
  
• Drive the successful delivery of applied AI projects, including LLM-enabled applications, clinical decision support tools, and patient cohort analytics.
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  Own and evolve the team's engineering practices, including source control workflows, CI/CD pipelines, IaC, observability, testing, and release processes.
  
  
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  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, enabling a culture of collaboration within and outside your immediate team.

Experience with the following is strongly preferred:

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  Healthcare data environments, including Epic Cogito, FHIR, and OMOP
  
  
• Workflow orchestration tools (e.g. Azure Data Factory, Apache Airflow)
• LLMOps and MLOps platforms (e.g. MLflow, PromptFlow)
• Generative AI and NLP tools (e.g. Azure OpenAI, Azure AI Foundry, John Snow Labs)

Experience with the following is a plus:

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  Data science methodologies, including supervised/unsupervised learning, model evaluation, and statistical inference
  
  
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  Feature engineering and data productization, including feature stores or reusable data assets
  
  

Education:

• Work requires a professional level of knowledge in Information Systems as acquired through completion of a Bachelor's Degree in Information Systems, Business Management, or related field.

Work Experience:

• Work requires demonstrated a minimum of 7 years of experience with computer systems and applications
• A minimum of 5 years of planning and managing projects.

Salary Range: Minimum 53.55/hour - Maximum 93.74/hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility. In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.

We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.

Johns Hopkins Health System and its affiliates are drug-free workplace employers.