Medecision is looking to embed agentic AI, predictive insights, and automation into its healthcare SaaS platform to transform payer operations and clinical decision support, ultimately improving healthcare outcomes and reducing costs.
Requirements
- Deep expertise in applied AI/ML, including large language models (LLMs), RAG, NLP, predictive analytics, and MLOps.
- Build reusable AI/ML infrastructure (vector DBs, orchestration, monitoring, MLOps).
- Ensure AI models are explainable, auditable, and aligned with payer/provider regulatory requirements.
- Proven track record building and scaling AI capabilities within healthcare, life sciences, or regulated industries.
- Strong knowledge of healthcare workflows (UM, CM, claims, risk adjustment, quality measures).
Responsibilities
- Drive applied research in agentic AI, LLMs, and predictive modeling for payer/provider use cases.
- Create a structured process for piloting, scaling, and productizing AI innovations across UM, CM, Quality, and Risk products.
- Partner with academic, vendor, and open-source AI communities to stay ahead of the curve.
- Build reusable AI/ML infrastructure (vector DBs, orchestration, monitoring, MLOps).
- Ensure AI models are explainable, auditable, and aligned with payer/provider regulatory requirements.
- Partner with Product GMs and Engineering leaders to embed AI pods into each line of business.
- Work closely with Clinical and Compliance teams to validate AI models against industry guidelines (e.g., InterQual, MCG, CMS).
Other
- Define and lead Medecision’s enterprise AI strategy in alignment with the company vision.
- Build and manage the AI CoE as a high-performing, multidisciplinary team (data science, ML engineering, AI ethics, clinical informatics).
- Act as the external face of “Medecision AI” at conferences, publications, and partnerships.
- Establish governance, compliance, and bias-mitigation frameworks for AI in healthcare.
- Evangelize AI internally, building a culture of adoption and responsible innovation.
- 12+ years of experience in AI/ML, data science, or advanced analytics, with at least 5 in leadership roles.
- Demonstrated ability to recruit, inspire, and lead world-class AI talent.
