Senior AI/ML Solutions Architect

Cambia Health Solutions • Medford, OR

3d • Hybrid

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• Experience in health insurance industry and payer-oriented processes/systems is a plus
• Equivalent combination of education and experience will be considered

Responsibilities

• Build & Prototype
• Shape AI Architecture Standards
• Bridge AI and Enterprise Architecture
• Guide AI/ML Portfolio Decisions
• Lead Partnership & Integration Architecture

Benefits

• Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
• Annual employer contribution to a health savings account.
• Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
• Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
• Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
• Award-winning wellness programs that reward you for participation.
• Employee Assistance Fund for those in need.
• Commute and parking benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level