As the newest member of our AI Engineering team, you’ll set the direction for how AI gets built and governed across the organization. You’ll design the standards and guardrails that keep our solutions secure, HIPAA-compliant, and focused on real clinical value. With 10+ years in architecture and deep Azure AI experience, you see the big picture and trust our Lead AI Software Engineers to handle the details. If you’re passionate about applying AI to behavioral health, let’s talk!  Applicants must be currently authorized to work in the United States on a full-time basis without current or future visa sponsorship.  You Value: Communication, Integrity, Curiosity  Spend your days:  Owning enterprise AI architecture and governance for our EHR platform, giving product teams a healthcare-grade foundation to build on  Defining reference patterns and solution blueprints for LLM applications, RAG, classical ML, and AI-enabled services  Leading platform and tooling decisions for Azure AI, Databricks, and data orchestration  Creating reusable accelerators like a RAG starter kit, evaluation harness, and prompt library  Embedding HIPAA-aligned PHI/PII safeguards into the SDLC and CI/CD gates  Setting responsible AI release criteria, from bias and fairness evaluations to model cards and red-teaming  Running the AI architecture review process and partnering with security and compliance on risk assessments and policy updates  Advising engineering teams on prompt design, grounding strategies, and the modernization of legacy code  Mentoring developers on Azure AI Foundry and the secure use of Microsoft Copilot and GitHub Copilot, and publishing architecture decision records