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Senior AI ENGINEER - Application Development 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 are looking for a senior technical leader responsible for designing, building, and productionizing AI applications that improve healthcare for Cambia members. This is a hands-on technical leadership role where you'll architect AI solutions, establish application engineering standards, and mentor teams while remaining deeply involved in writing production code. You'll work at the intersection of software engineering and AI, transforming prototypes and experimental models into robust, scalable applications that deliver real value. Working on top of Cambia's AI/ML platform, you'll collaborate with AI scientists, platform engineers, and product teams to build everything from GenAI-powered member experiences to intelligent automation systems. This role requires someone who can both ship production code and influence architecture decisions, who understands the full AI/ML development lifecycle, and who can translate complex technical concepts for diverse stakeholders. If you're a motivated and experienced AI Engineer looking to make a difference in healthcare, we'd love to hear from you! What You Bring to Cambia Technical Leadership & Execution: * Expert-level experience designing and building production AI applications at scale * Proven track record of establishing application engineering standards and best practices adopted across teams * Strong hands-on coding skills with production Python, API development, and application architecture * Experience architecting AI-powered applications from prototype to production * Ability to evaluate and introduce new AI technologies and application patterns AI Application Engineering Expertise: * Deep experience building production applications using ML, NLP, and GenAI technologies * Strong software engineering fundamentals: API design, testing, observability, error handling * Solid grounding in AI evaluation methodologies (evals) for assessing model & application performance * Experience with application deployment patterns (containerization, CI/CD) * Proficiency in working with ML platforms and model serving APIs * Knowledge of application monitoring, logging, and debugging in production environments * Experience integrating AI capabilities into user-facing applications and business workflows AI/ML Systems Knowledge: * Comprehensive understanding of ML, DL, NLP, and GenAI from an application development perspective * Experience working with AI scientists to integrate models into production applications * Understanding of prompt engineering, RAG patterns, GenAI, and agentic application architectures including Model Context Protocol (MCP) for tool integration * Familiarity with model APIs, versioning strategies, and handling model updates in applications * Knowledge of responsible AI practices: bias detection, explainability, safety guardrails Organizational Leadership & Influence: * Demonstrated ability to mentor engineers through code review, design review, and pair programming * Strong communication skills - can explain technical decisions to engineers, AI scientists, product managers, and business stakeholders * Experience driving technical initiatives across multiple application teams * Track record of improving development velocity and application