Partner with the SVP of Data, Insights, & AI and other cross-functional leaders to define the roadmap for AI and ML.
Lead a world-class AI/ML organization, including data scientists, AI/ML engineers, and MLOps.
Define methods and best practices for GenAI implementation, including RAG architectures, prompt optimization, and hallucination mitigation, specifically tailored for clinical accuracy.
Architect AI powered workflows, statistical and machine learning models, and decision trees that assist our clinical team in providing evidence-based, personalized treatment for patients.
Drive organizational productivity by identifying and executing high-ROI AI automation opportunities across all departments.
Partner with compliance team to implement HIPAA/CMS-aligned governance, automated guardrails, and model observability.
Ensure successful adoption and ROI through effective communication, achieving department and enterprise support, and thoughtful change management.
Lead "value realization" efforts, translating complex technical KPIs into business-driving narratives for stakeholders and clinical partners.
Provide deep-stack guidance on model behavior, failure-mode analysis, and iterative improvement based on production feedback and data drift.

Requirements

Master’s degree or PhD in Computer Science, Math, Statistics, or a related field.
10+ years in AI/ML engineering with 4+ years in senior leadership overseeing multiple teams.
Deep expertise in LLMs (RAG, grounding, retrieval), traditional ML (classification, regression, unsupervised learning) and statistics (causal inference, multilevel models).
Experience building high-stakes AI systems within regulated frameworks (HIPAA, CMS) where reliability and safety are non-negotiable.
Hands-on experience with modern tech stacks (Python, Node.Js, Typescript, LLMs, LangChain, n8n, vector databases, PyTorch/TensorFlow, AWS services) and a commitment to enforcing extensible, production-ready code.
Ability to lead a room, align cross-functional teams, and clearly articulate the "why" behind AI investments to non-technical audiences.

Benefits

Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
Competitive Medical, Dental, Vision, Life, and AD&D insurance.
Equip pays for a significant percentage of benefits premiums for individuals and families.
Maven, a company paid reproductive and family care benefit for all employees.
Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
$50/month stipend added directly to an employee’s paycheck to cover home internet expenses.
One-time work from home stipend of up to $500.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI engineeringML engineeringGenAI implementationRAG architecturesprompt optimizationhallucination mitigationstatistical modelsmachine learning modelsdecision treescausal inference

Soft Skills

leadershipeffective communicationchange managementcross-functional collaborationstakeholder engagementnarrative translationorganizational productivityteam alignmentthoughtful guidanceiterative improvement

Certifications

Master’s degreePhD in Computer SciencePhD in MathPhD in Statistics