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TalentOla

AI Architect

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Job Description

AI Architect at TalentOla AI Architect at TalentOla in Melrose Park, Illinois Posted in 1 day ago.

Type:

full-time

Role:
AI Architect Location :

Chicago, IL(Hybrid- 3 days/week in office) Contract role Looking for 12-15 Years minimum experience Mandatory skills

  • Stardog, Agentic AI, Knowledge Graph, ML Stardog experience is not a mandatory requirement , Our primary focus is on candidates with strong hands-on experience in Agentic AI and Knowledge Graph technologies .

What is in it for you? As an AI Architect, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.

Responsibilities:

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  • 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.

Tool & Technology Exposure Azure AI Foundry, LangChain, DeepAgents, Stardog, Orkes, Azure Databricks and PySpark, MLflow Unity Catalog Azure Blob Storage Azure Document Intelligence Dynatrace and OpenTelemetry GitHub and CI/CD Python, SQL, REST APIs, FHIR, HL7