Skip to Main Content

Job Title


AI Engineer


Company : MSCCN


Location : Spokane, WA


Created : 2026-01-07


Job Type : Full Time


Job Description

AI ENGINEER IV (HEALTHCARE)Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho or UtahBuild 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. The AI Engineer is responsible for designing, implementing, and maintaining AI operations infrastructure to ensure seamless deployment, scalability, and reliability of a wide range of AI applications. This role involves close collaboration with ML scientists, engineers of all types, and other stakeholders to facilitate the efficient and effective integration of AI models, including machine learning (ML), deep learning (DL), natural language processing (NLP), and generative AI (GenAI), into production environments. The AI Engineer will leverage a variety of tools and technologies to automate workflows, optimize performance, and monitor model outcomes, driving continuous improvement in AI lifecycle management. Additionally, the AI Engineer will build rapid GenAI prototypes to accelerate innovation and solution development. Through innovative solutions and strategic planning, this position aims to advance the organization's AI capabilities and support data-driven decision-making - all in service of making our members' health journeys easier.If you're a motivated and experienced AI Engineer looking to make a difference in the healthcare industry, apply for this exciting opportunity todayWhat You Bring to Cambia:Qualifications and Certifications: Bachelor's degree in Computer Science, Engineering, or related field 10+ years of experience in ML Ops Engineering, DevOps Engineering, Data Engineering or Software Development Equivalent combination of education and experienceSkills and Attributes (Not limited to): Contribute to enterprise patterns and practices around the use and design of AI Solutions Author and champion enterprise-wide AI Engineering related standards. Recognized as an industry leader in ML Ops, with contributions to the field through publications, patents, or speaking engagements. Extensive experience with cutting-edge ML Ops tools, frameworks, and methodologies. Demonstrated ability to drive large-scale organizational change. Strong visionary and strategic planning skills. Exceptional ability to communicate complex technical concepts to non-technical stakeholders. Track record of successfully leading large, cross-functional teams and projects. Expertise in high-performance computing environments and technologies (e.g, GPU clusters, distributed computing frameworks). Comprehensive understanding and experience with a variety of AI technologies, including ML, DL, NLP, and GenAI.What You Will Do at Cambia (Not limited to):Note that these responsibilities are representative but not exhaustive. Higher-level roles involve successively stronger degrees of initiative taking and innovation beyond the core responsibilities listed here. Develops long-term strategies for AI Engineering and aligns them with corporate objectives. Represents the company in industry forums, conferences, and publications related to AI Engineering. Establishes partnerships with external organizations and vendors to enhance AI Engineering capabilities and ensure the organization remains competitive and cutting-edge. Oversees the architecture and design of the AI infrastructure to ensure it meets future needs. Ensures the organization remains at the forefront of ML Ops innovations and practices. Oversees the implementation of enterpris