AI Architect With Stardog Exp.

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.

Mandatory skills

· Stardog, Agentic AI, Knowledge Graph, ML

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.