Jobs · North Dakota

Senior AI/ML Solutions Architect

Cambia Health Solutions · Fargo, ND · 1 mo ago
Hybrid$153k–$192k/yrFull-time
We need to output HTML fragment with sections: headings using

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We must include sections only when posting has real specific content. Must preserve all substantive info, no invented or summarizing away detail. Remove boilerplate like EEO, legal, etc. Also remove duplicated lines, application instructions, cookie/navigation, etc. We need to parse the posting. Key content: - Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston offices. Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo and Lewiston offices or who are willing to relocate. - Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. - We Are Looking For Every day, Cambia's Applied AI team is living our mission to make health care easier and lives better. We're seeking a Senior AI/ML Solutions Architect who can think strategically about our growing AI portfolio while building the architectural foundation for how Cambia builds intelligent systems. This is a unique technical leadership role that sits at the critical intersection of AI innovation and enterprise architecture. You'll be the bridge between our Applied AI team and Cambia's broader architecture practice, someone who can speak both languages fluently. You can collaborate with enterprise architects and platform engineers on scalability, security, and integration patterns, while also advocating for the unique requirements of building in non-deterministic environments: the observability frameworks, evaluation pipelines, monitoring strategies, and safety guardrails that AI systems demand. We're looking for a hands-on architect, someone who builds consensus through prototypes and working code, not just PowerPoint. You'll roll up your sleeves to prototype solutions, validate technical approaches, and sometimes fill in the gaps to work through harder problems. You'll bring people together by showing what's possible and helping everyone understand the trade-offs. Reporting directly to the VP of Applied AI, you'll shape Cambia-wide standards for AI system development, influence AI/ML platform design, and architect solutions for complex partnerships, all while staying deeply connected to the technical reality of building production AI systems. If you're an experienced architect who understands both the promise and the practical challenges of production AI, who leads through collaboration and working solutions, and who wants to shape how a healthcare organization deploys intelligence at scale, we'd love to hear from you. - What You Bring To Cambia: sections: Hands-On Technical Expertise, Architecture & Integration Experience, Collaboration & Consensus Building, Leadership. - Qualifications: Bachelor's degree ... etc. - What You Will Do At Cambia: sections: Build & Prototype, Shape AI Architecture Standards, Bridge AI and Enterprise Architecture, Guide AI/ML Portfolio Decisions, Lead Partnership & Integration Architecture. - The expected hiring range for a Senior AI/ML Architect is $153K - $192K/year depending on skills, experience, education, and training; relevant licensure / certifications; and performance history. The bonus target for this position is 18%. The current full salary range for this role is $153K - $250K/year. - About Cambia: description. - Why Join the Cambia Team? bullet points. - Benefits: list of benefits. - Also mention work from home options, internet speed requirements, MFA, etc. Those are maybe part of Benefits or maybe separate but we can include under Benefits or maybe a separate "Work Arrangement" but not required headings. The instruction says we can include sections only when posting has real specific content. We have Pay (salary range, bonus). Benefits (list). Schedule? There's hybrid role (3 days/week in office) - that's schedule info. So we can include a Schedule section. - About the role? Could be a summary but we already have description. Could include "About the role" as a heading with the initial paragraphs describing role. But we must not repeat job title as heading. "About the role" is allowed. We need to decide which sections to include: About the role, Responsibilities (maybe "What You Will Do At Cambia"), Requirements (maybe "What You Bring To Cambia" plus Qualifications), Skills (maybe combine with Requirements?), Benefits, Pay, Schedule. We must not create sections with filler like "commensurate with experience". We have actual pay numbers, so Pay section is valid. Schedule: we have hybrid role (3 days/week in office). That's specific. Benefits: we have list. We should not include "About Cambia" as a heading unless we map to "About the role"? The instruction says use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use those exact headings. We need to map content accordingly. Thus:

About the role

: include hybrid location, preference, mission, role description (the first big paragraph about seeking Senior AI/ML Solutions Architect, bridging teams, etc.)

Responsibilities

: could be "What You Will Do At Cambia" content (list of duties). Use
  • for each bullet.

    Requirements

    : maybe combine "What You Bring To Cambia" and "Qualifications". Could split into Requirements and Qualifications but we have both headings allowed. We could put "What You Bring To Cambia" under Requirements, and "Qualifications" under Qualifications heading. Or combine. The instruction says prefer a few substantive sections over many thin ones. So maybe combine Requirements and Qualifications into one section? But we have both headings allowed; we could still use both if they have substantive content. Let's see: "What You Bring To Cambia" includes Hands-On Technical Expertise, Architecture & Integration Experience, Collaboration & Consensus Building, Leadership. That's substantive. "Qualifications" includes degree, years experience, etc. Also substantive. So we could have two sections: Requirements (What You Bring To Cambia) and Qualifications (formal qualifications). That seems okay. Skills: maybe we could extract skills from those sections, but we might not need a separate Skills section if content overlaps. To avoid thin sections, we could omit Skills. Benefits: list. Pay: salary range and bonus. Schedule: hybrid 3 days/week in office. We must not include boilerplate like EEO, legal, etc. Also remove duplicated lines, application instructions. We need to preserve all substantive information. Let's extract. First, About the role content: - Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston offices. Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo and Lewiston offices or who are willing to relocate. - Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. - We Are Looking For Every day, Cambia's Applied AI team is living our mission to make health care easier and lives better. We're seeking a Senior AI/ML Solutions Architect who can think strategically about our growing AI portfolio while building the architectural foundation for how Cambia builds intelligent systems. This is a unique technical leadership role that sits at the critical intersection of AI innovation and enterprise architecture. You'll be the bridge between our Applied AI team and Cambia's broader architecture practice, someone who can speak both languages fluently. You can collaborate with enterprise architects and platform engineers on scalability, security, and integration patterns, while also advocating for the unique requirements of building in non-deterministic environments: the observability frameworks, evaluation pipelines, monitoring strategies, and safety guardrails that AI systems demand. We're looking for a hands-on architect, someone who builds consensus through prototypes and working code, not just PowerPoint. You'll roll up your sleeves to prototype solutions, validate technical approaches, and sometimes fill in the gaps to work through harder problems. You'll bring people together by showing what's possible and helping everyone understand the trade-offs. Reporting directly to the VP of Applied AI, you'll shape Cambia-wide standards for AI system development, influence AI/ML platform design, and architect solutions for complex partnerships, all while staying deeply connected to the technical reality of building production AI systems. If you're an experienced architect who understands both the promise and the practical challenges of production AI, who leads through collaboration and working solutions, and who wants to shape how a healthcare organization deploys intelligence at scale, we'd love to hear from you. We should keep that as prose in

    tags. Now Responsibilities: "What You Will Do At Cambia" includes: - Build & Prototype - Develop working prototypes to validate technical approaches, demonstrate feasibility, and build stakeholder alignment - Write production-quality code when needed to fill gaps, solve complex problems, or establish patterns for teams to follow - Conduct hands-on technical evaluations of emerging AI technologies, frameworks, and platforms - Build proof-of-concepts that translate strategy into tangible demonstrations - Shape AI Architecture Standards - Establish architectural patterns for AI systems through working examples and reference implementations - Define standards for AI-specific concerns: evaluation frameworks, observability, monitoring, safety guardrails, model governance, and responsible AI practices - Create and maintain reference architectures for common patterns (RAG systems, agentic applications, ML pipelines) - Lead technical design reviews and document architectural decisions - Bridge AI and Enterprise Architecture - Serve as primary liaison between Applied AI and enterprise architecture/platform engineering teams - Translate requirements bidirectionally: AI needs to enterprise architects, enterprise constraints to AI engineers - Advocate for AI-specific requirements within traditional architecture frameworks while ensuring alignment with Cambia's technology strategy - Guide AI/ML Portfolio Decisions - Think strategically about Applied AI's portfolio, identifying architectural patterns and reuse opportunities - Assess technical feasibility and integration complexity for product roadmap decisions - Evaluate emerging technologies and provide recommendations balancing innovation with enterprise readiness - Lead Partnership & Integration Architecture - Design integration strategies for partnership-driven AI initiatives - Architect solutions for complex integrations involving multiple organizations and platforms - Represent Cambia's technical interests in collaborative initiatives, building alignment through clear technical communication We need to turn each bullet into

  • under appropriate
      . Could group each major heading as a

      ? But we only allowed

      for section headings. Inside a section we can have

      ? Not specified but we can use

      for subheadings if needed. However instruction only mentions using

      for section headings. It doesn't forbid other headings. Safer to just use
      • for each duty, maybe with a leading bold text? But we need to preserve the structure. Could do
        • Build & Prototype: ...
        • etc. But that may be okay. Alternatively we could make each major bullet as a
        • and include sub-bullets as nested
            . That preserves detail. We'll do:

            Responsibilities

            • Build & Prototype
              • Develop working prototypes to validate technical approaches, demonstrate feasibility, and build stakeholder alignment
              • Write production-quality code when needed to fill gaps, solve complex problems, or establish patterns for teams to follow
              • Conduct hands-on technical evaluations of emerging AI technologies, frameworks, and platforms
              • Build proof-of-concepts that translate strategy into tangible demonstrations
            • Shape AI Architecture Standards
              • Establish architectural patterns for AI systems through working examples and reference implementations
              • Define standards for AI-specific concerns: evaluation frameworks, observability, monitoring, safety guardrails, model governance, and responsible AI practices
              • Create and maintain reference architectures for common patterns (RAG systems

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