Healthcare AI Architect: Azure & RAG Enterprise Lead

Streamline Healthcare Solutions; Springfield (IL); Remote; USD 150,000 - 200,000; Full time

Job summary

Streamline Healthcare Solutions is seeking an AI Architect to own enterprise AI architecture for healthcare-grade solutions, ensuring HIPAA-aligned handling of PHI/PII and Responsible AI practices. This remote role is based in the United States with a salary range of $150,000–$200,000 DOE.

The position partners with Security/Compliance, Data/Platform, and Product leaders to deliver LLM applications, RAG systems, and ML services while mentoring teams and establishing governance standards.

Qualifications

• 10+ years in software/solution architecture
• 5+ years in AI/ML systems
• 2+ years leading enterprise AI architecture
• Hands-on with OpenAI/Anthropic models
• Experience with HIPAA-aligned design patterns
• Strong Azure cloud expertise

Responsibilities

• Define enterprise AI architectures and reference patterns.
• Lead guardrails, governance, and safety policies in SDLC.
• Collaborate with security, data, and product leaders.
• Mentor teams in Azure AI Foundry and OpenAI usage.
• Publish ADRs and technical standards.
• Oversee reliability, observability, and cost governance.
• Lead Architecture Review process.
• Guide squads on prompt design and RAG strategies.

Skills

Azure AI Foundry

OpenAI/Anthropic models

Enterprise architecture

HIPAA compliance

MLOps

Databricks

Data governance

Security governance

Cloud architecture

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure AI Foundry

Azure OpenAI

Azure ML

Databricks

Airflow

Azure Data Factory

Purview

GitHub Copilot

SSMS/T-SQL tooling

Job description

Streamline Healthcare Solutions is seeking an AI Architect to own enterprise AI architecture for healthcare-grade solutions, ensuring HIPAA-aligned handling of PHI/PII and Responsible AI practices. This remote role is based in the United States with a salary range of $150,000–$200,000 DOE.

The position partners with Security/Compliance, Data/Platform, and Product leaders to deliver LLM applications, RAG systems, and ML services while mentoring teams and establishing governance standards.