We’re looking for our next bold leader – Head of AI Engineering – to join our quest to provide market-transforming solutions for businesses, care teams and consumers to interactively manage health and care. 

About Medecision

Medecision is a healthcare SaaS leader helping payers and providers move from data to doing across utilization management, care management, quality, and risk adjustment. With the launch of Medecision AI, we are embedding agentic AI and automation into every workflow, unlocking new efficiencies and improved member outcomes.

Role Overview

The Head of AI Engineering will be the founding leader of Medecision’s AI platform and infrastructure team. This person will be responsible for building the scalable, secure, and compliant AI foundation that powers applied AI research and production use cases across our UM, CM, Quality, and Risk products.

Reporting directly to the CEO, this role signals Medecision’s commitment to making AI a board-level strategic priority. The Head of AI Engineering will partner closely with the Head of Applied AI Research to turn prototypes into enterprise-grade, production-ready systems that meet payer, provider, and regulatory requirements.

Are you ready? We are! Join us in our journey to innovate solutions that solve real problems and partner with our clients to transform healthcare. 

Location: Remote (US based)

Reports to: Chief Executive Officer

• Dotted line to: Head of Applied AI Research (Medecision AI)

Key Responsibilities

• Platform & Infrastructure
• Design and build Medecision’s AI/ML infrastructure (data pipelines, embeddings store, orchestration, monitoring, vector DBs, and model registry).
• Establish MLOps best practices for deploying, monitoring, and updating AI models at scale.
• Engineering Leadership
• Build and lead a team of AI/ML engineers, data engineers, and platform architects.
• Partner with Applied AI Research to accelerate the transition from innovation to production.
• Collaborate with Product and Clinical teams to embed AI seamlessly into workflows.
• Compliance & Governance
• Implement frameworks for explainability, bias mitigation, auditability, and compliance with CMS, HIPAA, and payer standards.
• Ensure data privacy and security are foundational to every AI initiative.
• Partnerships & Scaling
• Evaluate and integrate third-party AI platforms (e.g., OpenAI, Vertex, Azure AI, Mistral).
• Optimize model performance and cost for enterprise-scale deployments.
• Drive continuous improvement in AI platform scalability and resilience.

Qualifications

• 10+ years in software engineering, with at least 5 focused on AI/ML infrastructure and MLOps.
• Proven track record of building and scaling AI/ML platforms in healthcare, life sciences, or other regulated industries.
• Deep expertise with modern AI stacks (vector DBs, orchestration frameworks, distributed training, RAG pipelines, LLM ops).
• Strong understanding of cloud environments (Azure, AWS, GCP) and compliance frameworks (HIPAA, HITRUST, SOC 2).
• Experience leading cross-functional engineering teams and partnering with data scientists and product managers.
• Ability to operate at both strategic and hands-on levels in a fast-moving environment.

Why Join Medecision AI

• CEO-Level Priority: Report directly to the CEO with a mandate to build the AI foundation of the company.
• Greenfield Opportunity: Architect the platform from the ground up, without legacy constraints.
• Collaborative Innovation: Partner with Applied AI researchers to bring prototypes into real-world, production-grade deployments.
• Enterprise Scale: Engineer AI solutions that impact millions of members and billions in medical costs.
• Mission Driven: Help transform healthcare by making it more efficient, affordable, and accessible.