Senior AI/ML Solutions Architect
REGENCE HEALTH NETWORK · Portland, OR
📍 Portland, ORvia workdayFirst listed here 2026-09-24
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Senior AI/ML Solutions Architect
Hybrid (Office 3 days/wk – Onsite-Flex) within Oregon, Washington, Idaho, or Utah
Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
Who 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 through genuine collaboration
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
12+ years in technology with minimum 7 years evaluating business requirements and designing complete systems solutions in complex environments
Minimum 2-3 years of technical leadership and architecture experience
Strong business understanding including healthcare technologies and regulations preferred
Experience in health insurance industry and payer-oriented processes/systems is a plus
Equivalent combination of education and experience will be considered
What You Will Do at Cambia:
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
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