Sr. Director - Solution Architecture (Data and AI)
Privia HealthAbout the role
Company Description
Privia Health™ is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices, improve patient experiences, and reward doctors for delivering high-value care in both in-person and virtual settings. The Privia Platform is led by top industry talent and exceptional physician leadership, and consists of scalable operations and end-to-end, cloud-based technology that reduces unnecessary healthcare costs, achieves better outcomes, and improves the health of patients and the well-being of providers.
Job Description
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
Qualifications
- 10+ years of experience architecting scalable platforms, and microservices including RESTful APO design and cloud native development
- 7+ years of experience in software solution architecture, with a focus on AI/ML systems
- 5+ years of experience working in healthcare technology ecosystem or familiarity with healthcare data, regulatory constraints, interoperability expectations
- 5+ years of experience communicating architectural vision and strategy across cross functional teams
- 3+ years of experience in cloud platforms (GCP, AWS and Azure) and data integration tools
- 2+ years of experience designing agentic workflows and autonomous systems
- 1+ years of experience with AI/ML concepts, including responsible AI principles, multi-agent solutions like Vertex AI, generative AI and MCP
- 1+ years of experience with MLOps tools for deploying and managing models in Production
- Ability to work with 3rd party vendors to evaluate, assses and scale AI integrations
Preferred qualifications:
- Bachelor's in computer science, engineering or related technical field
- Experience integrating AIenabled capabilities into enterprise systems while maintaining architectural hygiene, safety, compliance and maintainability
- Experience leading large scale modernization initiatives, interoperability transformations, platform rationalization efforts
- Solid grounding of healthcare specific data exchange standards
The salary range for this role is $190,000.00-$220,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). This role is also eligible for an annual bonus targeted at 15% and restricted stock units. The
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