Principal AI Architect

The Job

The Job 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.

About the Role

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.

Responsibilities

• 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 architectural best practices and help shape the long-term technical roadmap.

Requirements

Deep Expertise in Azure Ecosystem
Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric.
Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs).

Qualifications

• Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads.
• Strong understanding of network design, IAM, data governance, and enterprise integration patterns.
• Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks.
• Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs.
• Understanding of data modeling, knowledge graphs, and semantic search design.
• Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions.
• Demonstrated commitment to secure, auditable, and explainable AI design.
• Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN’s Responsible AI framework.
• Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance.
• Comfortable working in a fast-evolving environment balancing experimentation with operational rigor.
• Strong written and verbal communication skills for technical and executive audiences.

Skills

• Deep expertise in Azure ecosystem
• Proficiency in Azure AI Foundry, Azure AI Services, Azure AI Search, Azure ML, Databricks, and Fabric
• Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs)
• Strong understanding of network design, IAM, data governance, and enterprise integration patterns
• Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks
• Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs
• Understanding of data modeling, knowledge graphs, and semantic search design
• Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions
• Demonstrated commitment to secure, auditable, and explainable AI design
• Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN’s Responsible AI framework
• Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance
• Comfortable working in a fast-evolving environment balancing experimentation with operational rigor
• Strong written and verbal communication skills for technical and executive audiences

Benefits

Annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement
Opportunity to become part of a team that makes a difference to our members and our community every day!

Pay

$147,900 to $254,798 annually

Schedule

N/A