SCAN

AI and Cloud Architect

SCAN

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $147,900 - $254,798 per year

Job Level

Mid-LevelSenior

Tech Stack

AzureCloud

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Azure AI FoundryAzure AI ServicesAzure AI SearchAzure MLDatabricksMLOpsCI/CDcontainersdata governancenetwork design
Soft skills
influencing stakeholderscommunication skillscollaborationcoachingproblem-solvingadaptabilityleadershipstrategic alignmentoperational transparencycontinuous improvement