AI Architect

TalentOla; Chicago (IL); Hybrid; USD 160,000 - 210,000; Full time

Job summary

TalentOla in Chicago, IL, seeks an AI Architect to join an Agile team building healthcare applications and implementing new features while maintaining coding standards.

You will define end-to-end Agentic AI and Knowledge Graph architectures, design multi-agent patterns, and integrate with VIP data platforms and cloud tools. Hybrid work is required, with 3 days in office.

Qualifications

• Define 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.
• Establish AI security, HIPAA, PHI protection, tenant isolation, and contract-honoring guardrails.

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

Enterprise AI

Multi-agent

Knowledge Graph

RAG retrieval

Healthcare data

Data engineering

APIs & cloud

Stakeholder comms

Education

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

Tools

Azure Databricks

Stardog

Orkes

LangChain

MLflow

Unity Catalog

Python

SQL

FHIR

HL7

REST APIs

GitHub CI/CD

Azure Blob Storage

Dynatrace

OpenTelemetry

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.

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

Experience: - 12-15 Years

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

Educational Qualifications: -

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

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Stardog, Agentic AI, Knowledge Graph, ML