AI and Cloud Architect

Job Description: • Design the foundation that makes intelligent systems scale for our enterprise • Define and govern the architecture that powers SCAN’s AI and automation capabilities • Bridge infrastructure and innovation, ensuring every AI and cloud solution is built on secure, performant, and reusable patterns • Bring 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 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 • 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 • 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) • 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) • 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: • 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 Apply tot his job