Sr. Director - Solution Architecture (Data and AI)
United StatesFull-TimeDirector
Salary190,000 - 220,000 USD per year
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Job Details
- Experience
- 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
- Required Skills
- AWSGCPSnowflakeAzureMicroservicesGenerative AI
Requirements
- 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
- 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
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
- 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
- Modernize legacy data and technology platforms
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