employerdirecthealthcare

Director, AI Engineering

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At a Glance

Location
United States
Work Regime
remote
Experience
10+ years
Posted
2026-02-20T17:40:52-05:00

Key Requirements

Required Skills

AzureDatabricksDevOpsMachine LearningPyTorchTensorFlow

Domain Knowledge

  • Clinical
  • Engineering
  • Healthcare
  • Regulatory

Benefits & Perks

Health Insurance

Medical Insurance Dental Insurance Vision Insurance Short

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience; Master’s preferred.

10+ years of experience in software engineering or machine learning, with at least 4 years in a leadership role managing ML/AI teams.

Proven track record of building and shipping production ML/LLM systems at scale, including end-to-end ownership from research through deployment.

Deep technical expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn), LLM technologies (prompt engineering, RAG, embeddings, fine-tuning, agents), and modern MLOps practices.

Strong experience with cloud-native ML infrastructure on Azure, including Azure ML, Databricks, and Azure DevOps pipelines.

Demonstrated ability to rapidly prototype AI solutions and drive them to production on aggressive timelines.

Compensation & Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Short & Long Term Disability

Life Insurance

401k with company match

Responsibilities

Define and execute the AI engineering strategy and technical roadmap, ensuring alignment with Lantern’s product, clinical, and business priorities.

Build, lead, and scale a high-performing AI engineering team, including hiring, mentoring, performance management, and creating a culture of technical excellence and innovation.

Drive rapid AI proof-of-concept development, moving from problem identification to working prototypes on aggressive timelines, and shepherding successful POCs into production-grade systems.

Own the end-to-end lifecycle of ML/LLM systems—from research and experimentation through production deployment, monitoring, and continuous improvement.

Establish and maintain best-in-class MLOps practices: experiment tracking, reproducibility, CI/CD for models, automated testing, drift detection, observability, and scalable infrastructure on Azure.

Partner with product, clinical operations, marketing, data, and engineering leadership to identify high-impact AI opportunities and translate them into well-scoped, executable initiatives.

About the Company

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.