Senior Technical Architect

Job Description

AI Architect

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Location: Chicago, IL – Hybrid (3 days/week onsite)

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Job Type: Contract

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Experience: 12–15 Years

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Job Summary

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We are seeking an experienced AI Architect to design and lead the architecture of next-generation Agentic AI, Generative AI, Machine Learning, and Knowledge Graph solutions for healthcare applications.

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The ideal candidate will have strong expertise in Agentic AI, Knowledge Graph, Stardog, ML, RAG, and enterprise data architecture, along with an understanding of healthcare data, HIPAA, PHI, EHR/Epic, FHIR, and HL7.

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The AI Architect will work closely with engineering, data, AI/ML, and business teams to define scalable, secure, and production-ready solutions.

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Key Responsibilities

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• Define end-to-end Agentic AI and Knowledge Graph architecture for enterprise healthcare applications.
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• Design supervisor, planner, specialized agent, tool-use, and human-in-the-loop patterns.
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• Define integrations with VIP Data Platform, Orkes workflows, Azure Databricks, and Unity Catalog.
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• Design and develop Stardog Knowledge Graph models, including schemas, mappings, recipes, rules, lineage, and contractual controls.
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• Establish AI security and governance standards covering HIPAA, PHI protection, tenant isolation, and data/contract compliance.
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• Define standards for grounding, explainability, confidence scoring, AI evaluation, and observability.
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• Guide the development of reusable AI agent capabilities for source discovery, Epic mapping, recipe generation, data quality, and remediation.
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• Review solution architecture, technical designs, implementation deliverables, and production readiness.
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• Collaborate with engineering and data teams to ensure architecture standards are consistently followed.
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• Provide technical leadership and architectural guidance throughout the solution lifecycle.
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Required Skills & Qualifications

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• 12–15 years of experience in enterprise architecture, AI/ML, data platforms, or related technology domains.
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• Strong experience designing Agentic AI / Generative AI / ML architectures.
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• Hands-on experience with Knowledge Graph technologies, ontology, semantic modeling, and graph-based retrieval.
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• Strong experience with Stardog.
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• Experience designing multi-agent orchestration and human-in-the-loop architectures.
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• Strong understanding of RAG and hybrid retrieval using graph, vector, and structured data.
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• Experience with healthcare data, EHR/Epic, clinical data integration, HIPAA, and PHI.
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• Understanding of data engineering, metadata management, data lineage, and data quality.
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• Strong knowledge of API, microservices, event-driven architecture, security, and cloud architecture.
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• Excellent communication, stakeholder management, technical leadership, and architecture governance skills.
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Technology Stack

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• AI/GenAI: Agentic AI, Generative AI, ML, RAG, Hybrid RAG
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• AI Platforms: Azure AI Foundry, LangChain, DeepAgents
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• Knowledge Graph: Stardog, Ontology, Semantic Modeling
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• Workflow/Orchestration: Orkes
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• Data Platform: Azure Databricks, PySpark, Unity Catalog, MLflow
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• Azure: Azure Blob Storage, Azure Document Intelligence
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• Observability: Dynatrace, OpenTelemetry
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• Development: Python, SQL, REST APIs, Microservices
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• Healthcare: FHIR, HL7, EHR/Epic
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• DevOps: GitHub, CI/CD
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Mandatory Skills

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• Stardog
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• Agentic AI
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• Knowledge Graph
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• Machine Learning (ML)
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Preferred Qualifications

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• Experience architecting AI solutions within healthcare or regulated environments.
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• Experience with Azure cloud and Databricks.
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• Experience with Epic, FHIR, and HL7.
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• Relevant technical certifications in AI/ML, Cloud, Data, or Architecture are a plus.
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• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
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