AI Solutions Architect

🕒 June 25

🥔 Idaho – Remote

🥔 Idaho – Remote

💵 $106k - $144k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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MRO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

📋 Compliance

💰 Series unknown on 2019-11

Healthcare • SaaS • Compliance

MRO is an enterprise healthcare software company that provides a Clinical Data Exchange Platform (CDXP) and modular solutions to securely curate, normalize, and exchange clinical data across providers, payers, registries, and clinical data requesters. MRO helps hospitals, health systems, ambulatory practices, and payers streamline release of information, compliance workflows, MIPS/quality reporting, ACO tracking, and clinical intelligence by connecting to hundreds of disparate EHRs, reducing administrative burden and accelerating patient-focused care delivery. The company emphasizes security and regulatory compliance and has been recognized with Best in KLAS awards for Release of Information.

📋 Description

• deliver white-glove AI enablement, consulting, and solution engineering across assigned business units • build bespoke AI workflows, agents, and full-stack lightweight internal tools • provide solution consulting: assess team workflows, identify AI opportunities, and scope and deliver improvements • curate MRO prompt libraries, skill repositories, and other agent context • design and deliver role-specific AI training and coaching for assigned populations • create and maintain playbooks, documentation, and knowledge base for AI tools and workflows • gather and synthesize feedback on AI adoption barriers and report insights to leadership • develop customer-facing thought leadership on AI in healthcare

🎯 Requirements

• demonstrated depth in applied AI: hands-on experience building LLM-based applications, agents, and prompt engineering at scale • proficient with AI and agentic coding and development tools (Claude Code, OpenAI Codex, Github Copilot) • strong software-engineering or technical foundation, including proficiency in Python and familiarity with at least one major cloud AI platform (GCP Vertex AI, Azure AI, or AWS Bedrock) • experience with Healthcare IT, HIPAA guardrails, and responsible-AI • demonstrated initiative and self-direction in AI (self-directed learning, side projects, internal AI experiments) • excellent communication skills for consulting, training, documentation, and cross-team stakeholder engagement

🏖️ Benefits

• medical insurance • dental insurance • vision insurance • life insurance • 401(k) plan