Urgent position of AI Architect

Tech Mirrors

Chicago (IL)

Hybrid

USD 160,000 - 210,000

Full time

14 days+

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Job summary

Tech Mirrors is seeking an AI Architect in Chicago to define end-to-end agentic AI and knowledge graph architectures. The role emphasizes supervisor and agent pattern design, HIPAA-compliant data handling, and integration with data platforms.

Candidates should have hands-on experience in agentic AI, knowledge graphs, regulatory data protection, and scalable cloud architectures. The position is hybrid, three days per week, with production-readiness oversight and stakeholder governance.

Qualifications

  • Enterprise architecture for Agentic AI, GenAI, ML, and data platforms.
  • Multi-agent orchestration and human-in-the-loop architecture.
  • Knowledge Graph, ontology, semantic modeling, and graph-based retrieval.
  • RAG and hybrid retrieval using graph, vector, and structured data.
  • Healthcare data, HIPAA, PHI, EHR/Epic, and clinical-data integration knowledge.
  • Data engineering, metadata management, lineage, and data-quality concepts.
  • API, microservices, event-driven, security, and cloud architecture.
  • Strong stakeholder communication and architecture-governance skills.

Responsibilities

  • Define end-to-end Agentic AI and Knowledge Graph architecture.
  • Design supervisor, planner, specialized agent, tool-use, and human-in-the-loop patterns.
  • Define integration with VIP data platform, Orkes workflows, Databricks, and Unity Catalog.
  • Design the Stardog Knowledge Graph model for schemas, mappings, recipes, rules, lineage, and contractual controls.
  • Establish AI security, HIPAA, PHI protection, tenant isolation, and guardrails.
  • Define standards for grounding, explainability, confidence scoring, evaluation, and observability.
  • Guide reusable agent skills for source discovery, Epic mapping, recipe generation, quality, and remediation.
  • Review solution designs, technical deliverables, and production-readiness.

Skills

Agentic AI
GenAI
ML
Knowledge Graph
Ontology modeling
Graph retrieval
Healthcare data
EHR/Epic integration
Cloud architecture
APIs/microservices
Security governance
Stakeholder comms

Job description

Hi,
Urgent position of AI Architect
Chicago, IL (Hybrid, 3 days/week)
Please note that Stardog experience is not a mandatory requirement for this role. Our primary focus is on candidates with strong hands-on experience in Agentic AI and Knowledge Graph technologies.

Responsibilities
  • Define the end-to-end Agentic AI and Knowledge Graph architecture.
  • Design supervisor, planner, specialized agent, tool-use, and human-in-the-loop patterns.
  • Define integration with VIP data platform, Orkes workflows, Databricks, and Unity Catalog.
  • Design the Stardog Knowledge Graph model for schemas, mappings, recipes, rules, lineage, and contractual controls.
  • Establish AI security, HIPAA, PHI protection, tenant isolation, and contract-honoring guardrails.
  • Define standards for grounding, explainability, confidence scoring, evaluation, and observability.
  • Guide reusable agent skills for source discovery, Epic mapping, recipe generation, quality, and remediation.
  • Review solution designs, technical deliverables, and production-readiness.
Skills Required
  • Enterprise architecture for Agentic AI, GenAI, ML, and data platforms.
  • Multi-agent orchestration and human-in-the-loop architecture.
  • Knowledge Graph, ontology, semantic modeling, and graph-based retrieval.
  • RAG and hybrid retrieval using graph, vector, and structured data.
  • Healthcare data, HIPAA, PHI, EHR/Epic, and clinical-data integration knowledge.
  • Data engineering, metadata management, lineage, and data-quality concepts.
  • API, microservices, event-driven, security, and cloud architecture.
  • Strong stakeholder communication and architecture-governance skills.
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