Principal AI Architect SCAN · Remote · US · AI Engineering –13d ago

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.

Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

Design the foundation that makes intelligent systems scale for our enterprise.
The AI & Cloud Architect defines and governs the architecture that powers SCAN’s AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance.

• Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake.
• Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution.
• Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry.

• Build and maintain scalable cloud environments for model training, evaluation, and inference.
• Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.
• Implement high-availability, cost-optimized compute and storage strategies for AI workloads.
• Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements.

• Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management.
• Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services.
• Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement.

• Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards.
• Define metadata, lineage, and model registry conventions for consistent tracking and reuse.
• Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes.
• Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives.

• Evaluate emerging Azure and open-source technologies to extend SCAN’s AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs).
• Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery.
• Coach engineers on…