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Engineering Manager, AI
Job in
Mountlake Terrace, Snohomish County, Washington, 98043, USA
Listed on 2026-03-03
Listing for:
Premera Blue Cross
Full Time
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
* Hybrid
** Join Our Team:
Do Meaningful Work and Improve People's Lives*
* Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare.
Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace.
()
Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog:
.
As the
** AI Engineering Manager** , you will develop and lead a team of AI Engineers, Software Engineers, Machine Learning and Data Scientists dedicated to revolutionizing healthcare through cutting-edge
AI/ML solutions and insights. This management role focuses on hands-on ideation, development, deployment, and monitoring of AI/ML models and insights.
** This is a hybrid role, located on our campus in Mountlake Terrace, Washington.*
* ** What you'll do:*
* + Build and lead a high-performing team of AI Engineers, Software Engineers, Data Scientists, and Machine Learning Scientists, fostering a culture of innovation, rigorous experimentation, and continuous learning.
+ Stay at the forefront and capitalize on advancements in AI by driving alignment with organizational goals.
+ Lead cross-functional collaboration with the business, analytical, and technical teams to ideate and develop innovative AI/ML models and actionable insights addressing complex healthcare challenges.
+ Lead hands-on exploration, development, and iterative testing of advanced AI/ML models to drive strategic insights and innovative business solutions. Champion continuous experimentation, rapid prototyping, and data-driven validation while ensuring timely, high-quality results.
+ Oversee continuous model performance monitoring to detect drift and ensure ongoing validity of AI/ML solutions. Guide re-training strategies and collaborate on timely issue resolution, maintaining scientific rigor, and reliability.
+ Collaborate with stakeholders to continuously evaluate the strategic impact and business value of AI/ML prototypes and production models, ensuring that data-driven insights translate into meaningful outcomes.
+ Champion and reinforce rigorous experimentation and development best practices including peer review, reproducible experimentation, and responsible AI principles such as fairness and explainability to maintain high standards in all AI initiatives.
+ Mentor and coach AI Engineers, Machine Learning Scientists, and Experimental Engineers. Foster continuous learning, advanced skill development, and professional growth in alignment with emerging AI capabilities.
+ Instill a culture of iterative experimentation and flexible, agile-like development practices, emphasizing robust documentation standards for reproducibility. Encourage continuous improvement through regular retrospectives and process enhancements that accelerate development.
+ Establish and uphold comprehensive documentation practices for experimental design, model development, and data usage, ensuring reproducibility and compliance with all corporate standards.
+ Build strong partnerships with business leaders, fostering a deep understanding of the potential and outcomes of cutting-edge AI/ML advancements. Translate complex scientific concepts into clear, compelling narratives, ensuring stakeholders can make informed, data-driven decisions.
** What you'll bring:*
* ** Required Qualifications*
* + Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field; or 5+ years equivalent professional experience.
+ 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning.
+ 5+ years of hands-on experience developing and…
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