By bringing an AI-aware approach to modernizing processes and design, this individual will elevate operational intelligence while maintaining rigorous standards for safety and compliance. They will partner with senior business & operations leadership to define architectural guardrails, promote consistency, and mentor our engineering and data teams.
Primary Responsibilities:
- Shape the end-to-end architecture across platform, services, and data domains and ensure alignment between technology architecture and operational needs.
- Establish clear patterns, guardrails, and reusable services that support modernization, interoperability and long term sustainability
- Apply an AI aware mindset to inform design choices, improve clarity of trade-offs, and guide teams toward a shared architecture vision
- Interact with business stakeholders and operations teams to identify automation use cases through AI
- Hands-on experience developing pilots, POCs and incubating new ideas
- Oversee design through the full lifecycle, ensuring reliability, performance, security and cost effectiveness are built in from the start
- Responsible for the end to end architecture of next generation Privia Data Foundry
- Mentor engineering teams in the use of AI, especially for development, testing, solution documentation and dependency analysis
- Design solutions informed by healthcare data flows, RCM, clinical workflows, provider and payer contracts, and regulatory expectations
- Understand how EMR and clinical systems interact with payer platforms to guide integration, data movement
- Familiarity with value based care and fee for service delivery models
- Ability to build big data warehouse using Snowflake and other technologies
- Apply interoperability standards (HL7, X12 FHIR) to ensure systems communicate reliabily and securely
- Modernize legacy data and technology platforms
- Lead design reviews and share best practices, and foster a culture focused on simplification, reuse and responsible innovation
- Encourage sage and effective adoption of AI augmented engineering techniques across teams
- Identify architectural improvements that reduce operational effort and increase developer productivity
- Support continuous improvement with metrics, insights and evolving standards - using AI supported analysis where help