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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Solutions Architect - **Company:** Cambia Health Solutions, Inc. - **Location:** Bellevue, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $153,000.0 - $192,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Architectural Patterns, Microsoft Azure, Cloud Engineering, Python (Programming Language), Machine Learning, Microsoft PowerPoint, Cloud Services, Azure Machine Learning, Systems Integration, Large Language Models, Multi-Agent Systems, IT Architecture, Event Driven Architecture, Information Technology, Production Code, Machine Learning Operations, Api Design, Software Coding, Microservices - **Published:** July 16, 2026 - **Apply:** https://www.jofdav.com/jobs/58865802-senior-ai-ml-solutions-architect ## About the Role * 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 * Experience in health insurance industry and payer-oriented processes/systems is a plus * Equivalent combination of education and experience will be considered ## Description 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., * 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 ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)