AI Engineer

AI ENGINEER IV (HEALTHCARE) 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.

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 today!

• Bachelor’s degree in Computer Science, Engineering, or related field
• 10+ years of experience in ML Ops Engineering, Dev Ops Engineering, Data Engineering or Software Development
• Equivalent combination of education and experience

• 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.

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.

• Develop long-term strategies for AI Engineering and align them with corporate objectives.
• Represent the company in industry forums, conferences, and publications related to AI Engineering.
• Establish partnerships with external organizations and vendors to enhance AI Engineering capabilities and ensure the organization remains competitive and cutting-edge.
• Oversee the architecture and design of the AI infrastructure to ensure it meets future needs.
• Ensure the organization remains at the forefront of ML Ops innovations and practices.
• Oversee the implementation of enterprise-scale AI systems and infrastructures.
• Provide executive-level reporting on ML Ops initiatives and performance metrics.
• Develop and champion an organizational culture that values continuous learning and innovation in ML Ops.
• Ensure that AI Engineering strategies are adaptable to changes in the business environment.
• Establish frameworks and methodologies for rapid GenAI prototype development across the organization.

The expected hiring range for the AI Engineer IV is $150k–$180k, depending on skills, experience, education, and training; relevant licensure /…