AI Engineer IV
AI Engineer IV role at Premera Blue Cross involves driving real change in healthcare by transforming it through AI and ML engineering, leveraging Python, Machine Learning, and AWS technologies.
Workforce Classification:
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: https://healthsource.premera.com/ .
As an AI Engineer IV , you'll contribute leadership in a team developing AI/ML solutions for complex business problems from conception to production. Your role involves guiding the solutioning of intricate challenges, leading ideation, and prototyping new AI products. With substantial experience in deploying ML algorithms and strong software engineering skills, you'll ensure the creation of reliable and maintainable AI infrastructure. Your expertise will drive innovative AI systems, mentoring junior engineers, and staying updated with cutting-edge AI research and technologies.
This is a remote/telecommuter position working from home.
What you’ll do:
Recommend and develop comprehensive systems and frameworks for AI applications and products.
Pitch concepts to team leadership and then lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources.
Assist in designing and implementing the cloud architecture of large multi-faceted AI systems.
Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems.
Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications.
Develop the code for monitoring models and AI systems that ensure consistent and reliable performance.
Actively participate in a team that exercises principled, agile-like development practices.
Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations.
Ensure peer review on all assigned work as well as conduct peer reviews over the work of others as requested.
Guide AI engineers on AI/ML and industry best practices and methodologies.
Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development.
Advise team and division leadership on matters such as enterprise AI strategies, AI related
Posted June 7, 2026