Expertise in Azure ecosystem with a focus on AI Foundry and Azure Services.
Experience designing scalable and secure cloud architectures for AI workloads.
Knowledge of AI engineering principles including LLM architectures and evaluation frameworks.
Familiarity with data governance, metadata strategies, and compliance standards like HIPAA.
Strong leadership skills to influence cross-functional teams and communicate complex concepts.
Responsibilities
Define reference architecture for AI and data systems utilizing Azure technologies.
Design and implement integration blueprints for enterprise-level AI solutions.
Establish deployment and management standards for AI models within Azure.
Oversee cloud infrastructure for AI model training and inference.
Integrate monitoring systems to ensure operational transparency and improvement.
Collaborate with teams to align architecture with strategic business objectives.
Lead architecture reviews to enforce Responsible AI and compliance standards.
Benefits
Annual employee bonus program
Robust wellness program
Generous paid-time-off (PTO) and 11 paid holidays
Excellent 401(k) plan with employer matching
Tuition reimbursement for continued education
Full Job Description
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. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance.
You Will:
Architectural Design & Strategy
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.
Infrastructure & Platform Enablement
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.
Orchestration & Automation
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.
Governance & Collaboration
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.
Innovation & Thought Leadership
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.
Your Qualifications:
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).
Architectural Design & Integration
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.
AI Engineering Foundations
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.
Data & Metadata Strategy
Understanding of data modeling, knowledge graphs, and semantic search design.
Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions.
Responsible AI & Compliance Mindset
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.
Collaboration & Leadership
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.
We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
Actively support the achievement of SCAN's Vision and Goals.
Other duties as assigned.
What's in it for you?
Base Pay Range: $147,900 to $254,798 annually
An 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
An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
