Senior AI​/ML Solutions Architect

Senior AI/ML Solutions Architect Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston, Little Rock and Springdale offices.

Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo, Lewiston, Little Rock and Springdale 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:

Hands-On Technical Expertise Deep technical knowledge of modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) with proven ability to prototype and build working solutions

Strong coding skills in Python and experience building production AI applications, APIs, and integrations

Practical experience with AI-specific requirements: evaluation frameworks, observability patterns, monitoring strategies, model governance, bias mitigation, and safety guardrails

Experience with AI/ML platforms and cloud services (AWS, Azure, etc.) including hands-on implementation work Architecture & Integration Experience Demonstrated architecture experience spanning business units/technology domains with ability to design solutions that work across organizational boundaries

Demonstrated experience architecting for regulated industries (healthcare preferred) with understanding of microservices, event-driven architectures, API design, and cloud-native patterns

Proven ability to design solutions that work across organizational boundaries and complex partnership integrations

Collaboration & Consensus Building Exceptional consensus-building skills: brings stakeholders together through prototypes, demonstrations, and shared technical understanding

Proven ability to translate between AI/ML teams and architecture & engineering teams, finding common ground and building alignment

Strong communication skills across technical domains: can explain AI system needs to infrastructure teams and enterprise constraints to AI engineers

Leadership

Strategic thinking about product portfolios: can see patterns across multiple AI initiatives and identify opportunities for reuse and standardization

Experience influencing senior business and technology leaders on technical strategy through clear communication and demonstrated value

Demonstrated mentoring ability with engineers and architects, helping teams grow their technical capabilities

Strong interpersonal skills: relates well to people across all organizational levels and establishes trust…