AI Architect

VeeRteq Solutions Inc.

Chicago (IL)

Hybrid

USD 180,000 - 260,000

Full time

11 days ago
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Job summary

VeeRteq Solutions Inc. is seeking an AI Architect in Chicago, IL to lead the design of end-to-end Agentic AI and Knowledge Graph architectures within an Agile team. You will integrate with data platforms, ensure HIPAA/PHI protection, and drive guardrails for security and governance.

The role requires extensive experience in AI, ML, data platforms, and enterprise-scale solutions, with a focus on health-tech integrations and compliant data handling.

Qualifications

  • 12–15 years of experience in AI architecture and enterprise-scale data platforms.
  • Experience building healthcare AI architectures with HIPAA/PHI considerations.
  • Proven track record in Agile teams and delivering end-to-end AI solutions.

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

Knowledge Graph
Ontology & Semantic Modeling
Graph-based Retrieval
Agentic AI Architecture
Multi-agent Orchestration
Healthcare Data (HIPAA/PHI)
API & Microservices Architecture
Cloud Architecture
Governance & Stakeholder Communication

Education

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

Tools

Stardog
Orkes
Azure Databricks
PySpark
MLflow
Unity Catalog
Dynatrace/OpenTelemetry

Job description

Job Title: AI Architect

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

Experience: - 12-15 Years

Mandatory skills

Stardog, Agentic AI, Knowledge Graph, ML

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.

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

Educational Qualifications: -
  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

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