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Contractual Azure Databricks Jobs in Illinois (NOW HIRING)

... contractual controls. · Establish AI security, HIPAA, PHI protection, tenant isolation, and ... Orkes, Azure Databricks and PySpark, MLflow Unity Catalog Azure Blob Storage Azure Document ...

New

MLOps Engineer

Bloomington, IL · On-site

$115 - $150/hr

Azure Data Scientist Associate * Google Professional Machine Learning Engineer * Databricks Machine ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Contractual Azure Databricks information

What is the difference between Contractual Azure Databricks vs Data Engineer?

AspectContractual Azure DatabricksData Engineer
CredentialsAzure certifications, Spark, SQLData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, project-specific contractsVaried, including cloud and on-premises environments
Employer & Industry UsageConsulting firms, tech companies, project-based rolesTech companies, finance, healthcare, often permanent or contract roles

Contractual Azure Databricks professionals focus on implementing and managing data solutions on the Azure platform for specific projects, often on a contractual basis. Data Engineers build and maintain data pipelines across various environments. While both roles require cloud and data processing skills, Contractual Azure Databricks specialists are more platform-specific, whereas Data Engineers have broader responsibilities across data architecture and engineering tasks.

What are the most commonly searched types of Azure Databricks jobs in Illinois?

The most popular types of Azure Databricks jobs in Illinois are:

What cities in Illinois are hiring for Contractual Azure Databricks jobs?

Cities in Illinois with the most Contractual Azure Databricks job openings:

AI Architect

VeeRteq Solutions Inc.

Chicago, IL • On-site

Contractor

Posted 2 days ago

New


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.