AI Architect – US Remote

Goldstone Partners, Inc.•Oak Brook, IL
•$150,000 - $200,000•Remote

About The Position

The AI Architect will set the direction for how AI is built and governed across the organization, designing standards and guardrails to keep solutions secure, HIPAA-compliant, and focused on clinical value. The role owns enterprise AI architecture and governance for the EHR platform and provides product and engineering teams with a healthcare-grade foundation for AI development. It calls for broad architecture experience and deep Azure AI expertise, with responsibility for strategic direction while Lead AI Software Engineers handle implementation details. The architect defines reference patterns and solution blueprints for LLM applications, retrieval-augmented generation (RAG), classical machine learning, and AI-enabled services. The role guides platform and tooling decisions across Azure AI, Databricks, and data orchestration, and creates reusable accelerators such as a RAG starter kit, evaluation harness, and prompt library. It also embeds HIPAA-aligned PHI/PII safeguards into the SDLC and CI/CD gates and establishes responsible AI release criteria, including bias and fairness evaluations, model cards, and red-teaming. The position runs the AI architecture review process and partners with security and compliance on risk assessments and policy updates. It advises engineering teams on prompt design, grounding strategies, and legacy-code modernization, mentors developers on Azure AI Foundry and secure use of Microsoft Copilot and GitHub Copilot, and publishes architecture decision records. Applicants must be authorized to work in the United States full-time without current or future visa sponsorship.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field.
  • 10+ years in software or solution architecture, including 5+ years in AI/ML systems and 2+ years leading enterprise AI architecture or platform initiatives.
  • Hands-on experience with Azure AI Foundry and OpenAI or Anthropic models, including fine-tuning and deploying generative models and integrating AI into .NET applications.
  • Healthcare domain experience in claims processing or revenue cycle management, or experience in a regulated environment.
  • Solid understanding of HIPAA, PHI/PII handling, and responsible AI practices.
  • Strong communication and documentation skills and ability to work in a collaborative, cross-functional environment.
  • Passion for coaching others and building shared knowledge across teams.
  • Intellectual curiosity and interest in efficient, cost-effective approaches to growth.
  • Outcome-focused, results-oriented mindset and optimistic approach to challenges.
  • Currently authorized to work in the United States on a full-time basis without current or future visa sponsorship; applications are welcome from US citizens or Green Card holders.

Responsibilities

  • Own enterprise AI architecture and governance for the EHR platform, providing product teams with a healthcare-grade foundation.
  • Define reference patterns and solution blueprints for LLM applications, RAG, classical ML, and AI-enabled services.
  • Lead platform and tooling decisions for Azure AI, Databricks, and data orchestration.
  • Create reusable accelerators, including a RAG starter kit, evaluation harness, and prompt library.
  • Embed HIPAA-aligned PHI/PII safeguards into the SDLC and CI/CD gates.
  • Set responsible AI release criteria, including bias and fairness evaluations, model cards, and red-teaming.
  • Run the AI architecture review process and partner with security and compliance on risk assessments and policy updates.
  • Advise engineering teams on prompt design, grounding strategies, and legacy-code modernization.
  • Mentor developers on Azure AI Foundry and secure use of Microsoft Copilot and GitHub Copilot.
  • Publish architecture decision records.

Benefits

  • Full suite of benefits.
  • Meaningful, high-impact work that directly improves patient care and healthcare technology.
  • Supportive and challenging team of professionals.
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