AI Data Architect (Axure) at Chicago, IL(Hybrid- 3 days/week in office)

[deepika dua]

Greetings,

 

Please carefully read the Job Description below, and if you would like to pursue this opportunity, please email me an updated MS Word version of your resume to Deep...@VBeyond.com at your earliest convenience.  If you're not interested feel free to send me your resume and let me know what type of positions, I can help you with. I appreciate your time and look forward to hearing from you. 

 

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Position: AI Data Architect (Axure)

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

Type : Contract 6+ month

 

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

 

Job Description:

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: -

• 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.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Mandatory skills

Stardog, Agentic AI, Knowledge Graph, ML

 

Regards,
Deepika Dua

VBeyond Corporation

https://www.linkedin.com/in/deepika-dua-018459166/

E: Deep...@vbeyond.com | www.vbeyond.com

390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

 

Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.

 

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