AI Architect

TalentOla • Chicago, IL

2d • Hybrid

About The Position

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.

Requirements

• 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.
• Stardog, Agentic AI, Knowledge Graph, ML

Nice To Haves

• Technical certification in multiple technologies is desirable.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior