AI Architect

Streamline Healthcare Solutions LLC; Illinois; Hybrid; USD 150,000 - 200,000; Full time

Job summary

Streamline Healthcare Solutions LLC seeks an AI Architect to own enterprise AI architecture, standards, and governance for healthcare-grade solutions. You’ll ensure HIPAA-aligned handling of PHI/PII, Responsible AI practices, and measurable outcomes while partnering with Security, Data/Platform, and Product leaders.

The role emphasizes Azure AI Foundry/Studio expertise, OpenAI/Anthropic models, and leadership in enterprise architecture across cloud platforms.

Qualifications

• Bachelor’s degree in a related field.
• 10+ years in software/solution architecture with AI/ML focus.
• Experience with Azure AI Foundry, OpenAI or Anthropic models.
• Leading enterprise AI architecture or platform initiatives.

Responsibilities

• Define reference architectures for LLM apps, RAG patterns, ML services.
• Own platform/tooling selection for Azure AI, Databricks, and orchestration.
• Embed PHI/PII safeguards and HIPAA-aligned controls in SDLC/CI/CD.
• Lead AI Architecture Review processes and govern standards.
• Mentor teams on Azure AI Foundry, Copilot usage, and governance.

Skills

Enterprise architecture

Azure AI Foundry

Azure AI Studio

OpenAI models

Anthropic models

HIPAA compliance

Governance & ADRs

Security & privacy

Leadership & mentoring

Communication & influence

Education

Bachelor’s degree in Computer Science or related field

10+ years software/solution architecture

5+ years AI/ML enterprise architecture

2+ years leading enterprise AI architecture

Tools

Azure OpenAI

Azure Data Factory

Databricks

Airflow

Purview

Azure Key Vault

GitHub Copilot

Job description

Job Description: About Streamline Healthcare Solutions Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar. Streamline’s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology. Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry.

Summary of the AI Architect

The AI Architect owns the enterprise AI architecture, standards, and governance for healthcare‑grade solutions—establishing reference patterns, platforms, and guardrails that product teams use to safely and efficiently deliver LLM applications, RAG systems, and ML services. This role partners with Security/Compliance, Data/Platform, and Product leaders to ensure HIPAA‑aligned handling of PHI/PII, Responsible AI practices, and measurable clinical and business outcomes. The ideal candidate brings deep Azure experience (including Azure AI Foundry / Azure AI Studio), broad knowledge of OpenAI or Anthropic models, and proven enterprise architecture leadership.

This position is remote and based in the United States.

The salary range is $150,000 - $200,000, DOE.

Employment visa sponsorship is not available for this role.

Responsibilities of the AI Architect

• Enterprise Architecture & Standards

  Define and maintain reference architectures for LLM applications, RAG patterns, classical ML, and AI‑enabled services across the organization. Establish solution blueprints for embeddings/vector search, prompt orchestration, guardrails/safety layers, evaluation frameworks, lineage, and observability. Publish SLO/SLA templates, token/GPU budget rules, multi‑tenancy/isolation approaches, and cost governance playbooks.

• Platform & Tooling

  Own platform and tooling selection for Azure AI (Azure AI Foundry/Studio, Azure OpenAI, Azure AI Search, Azure ML), Databricks (Delta Lake, MLflow), and orchestration (Airflow or Azure Data Factory). Define standard patterns for vector databases (e.g., Azure AI Search, Pinecone, FAISS), feature store usage, and data ingestion/streaming. Provide reference implementations and reusable accelerators (RAG starter kit, evaluation harness, prompt library, safety policies).

• Security, Compliance & Responsible AI

  Embed PHI/PII safeguards and HIPAA‑aligned controls into SDLC and CI/CD gates; standardize data boundaries, de‑identification/anonymization (e.g., Presidio), Key Vault, encryption, RBAC, and auditability. Define and operationalize Responsible AI requirements (bias/fairness evaluations, model cards, data sheets, red‑teaming) as release criteria. Partner with Security/Compliance on risk assessments, release approvals, and policy updates; review high‑risk use cases.

• Solution Governance & Reviews

  Lead the AI Architecture Review process; manage deviations from standards with an exception register and migration plans. Advise squads on prompt design, tool/function calling, grounding/RAG strategies, evaluation design (hallucination, safety, utility), and observability (latency, accuracy, drift, cost).

• Collaboration & Enablement

  Collaborate with Lead AI Software Engineers, data scientists, and platform teams to land architectures in production. Mentor teams in Azure AI Foundry, OpenAI/Anthropic model usage, Microsoft Copilot, and GitHub Copilot—including governance and data leakage prevention. Run communities of practice, internal training, and publish architecture decision records (ADRs) and technical standards.

Education and Experience Requirements for the AI Architect

• Bachelor’s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field.
• 10+ years in software/solution architecture with 5+ years in AI/ML systems and 2+ years leading enterprise AI architecture or platform initiatives.
• Enterprise cloud architecture (Azure): Azure AI Foundry (Azure AI Studio), Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, networking/IAM, encryption, logging/monitoring.
• Hands‑on architectural experience with OpenAI or Anthropic models (e.g., GPT‑4.x/4o, Claude 3.x): prompt & tool calling patterns, grounding/RAG, evaluation methodologies.
• Demonstrated Responsible AI leadership: guardrails, safety filters, bias/fairness evaluations, model cards/datasheets, and red‑teaming processes.
• Security & privacy familiarity: PHI/PII protections and HIPAA‑aligned design patterns; ability to translate policy into technical controls and CI/CD checks.
• Data platform fluency: Databricks (Delta Lake, MLflow), Spark, orchestration (Airflow or Azure Data Factory/Synapse), and data governance (e.g., Purview).
• MLOps standards: model registry, CI/CD for ML, environment isolation, canary/A/B testing, drift/performance/cost monitoring, rollback strategies.
• Strong understanding of SQL Server data modeling and performance; able to guide teams using SSMS and review T‑SQL patterns for AI data workloads.
• Familiarity with Visual Studio and .NET integration patterns to ensure AI services fit the enterprise application ecosystem.
• Experience enabling secure, governed use of Microsoft Copilot and GitHub Copilot in engineering workflows.
• Excellent communication and influence skills; proven success leading architecture reviews and driving cross‑functional decisions.

Preferred Education and Experience Requirements for the AI Architect

• Healthcare domain knowledge (clinical or revenue cycle management): FHIR/HL7, EHR/claims data integration, and clinical NLP (entity extraction, summarization, coding/RCM use cases).
• Inference optimization: GPU/CUDA, quantization/distillation, caching strategies, prompt/token budgeting, multi‑tenant cost control.
• Security/compliance certifications (e.g., HCISPP, CISSP) or demonstrable leadership in healthcare‑grade architectures.
• Track record of creating reusable accelerators/libraries/platform capabilities adopted across multiple teams.
• Governance & ethics: model cards, datasheets for datasets, bias/fairness evaluations, and red‑teaming.
• Familiarity with .NET microservices and API design to integrate AI services into enterprise systems.

Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

Thank you for your interest in a career with us!

At Streamline Healthcare, we strive on building lasting and trusting relationships with our clients, and our employees set the bar. Our mission is to empower people who help those in need. Our customers are engaged in helping the most vulnerable people in society. This is a high calling – one we are proud to support. At Streamline Healthcare Solutions, we are constantly innovating; our goal is to develop technology that enhances and transforms our customers’ businesses and helps them to improve the quality of life for those in need. Whether you’re an experienced professional or a student looking for an internship, there’s a place for you at Streamline Healthcare.