AI Engineer II

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.

To better serve our customers, we are fostering a culture that emphasizes employee growth, collaborative innovation, and inspired leadership. We are dedicated to creating an environment where employees can excel and where top talent is attracted, retained, and thrives. As a testament to these efforts, Premera has been recognized on the 2025 America's Dream Employers list. Newsweek honored Premera as one of America's Greatest Workplaces, America's Greatest Workplaces for Inclusion, and America's Greatest Workplaces For Mental Well-Being, Forbes ranked Premera among America’s Best Midsize Employers for the fourth time.

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 II, you'll be an integral member of a dynamic team tasked with developing AI/ML solutions from conception to implementation. Your role will delve into addressing increasingly complex business problems and tasks within intricate systems. With a solid analytical aptitude, you'll propose and drive AI-driven solutions, contributing significantly to system design, modeling, and coding. Partnering with cross-functional teams, you'll be involved in ideating and creating new AI products. Your experience in developing and deploying ML algorithms, coupled with adept software engineering skills, will be vital as you contribute to building reliable and maintainable AI infrastructure. This role challenges you to enhance your technical expertise and to play a pivotal part in powering innovative AI systems addressing challenging problems.

This a telecommuter position, working from home.

What you’ll do:

• Develop components of larger AI systems and frameworks for AI applications and products.

• Assist in the development of prototypes and minimum viable AI/ML products before contributing substantial resources.

• Assist in the implementation of large complex cloud-based AI systems by focusing on individual components.

• Support senior AI Engineers in implementing data pipelines that underly large complex AI systems.

• Assist in implementing low latency APIs within a larger microservices architecture for powering AI models and services.

• Assist in the monitoring of deployed models and participate in a reporting process that ensures optimal model 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.

• Follow peer review procedures for all assigned work.

• Keep abreast of new tools and concepts through reading documentation or literature and actively practice skills development.

What you’ll bring:

Required Qualifications

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position.

• Minimum of 1 year of industry experience in developing, deploying, and maintaining AI or ML systems.

Preferred Qualifications

• At least 2 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano, or Caffe is also accepted. (May substitute with demonstrable graduate level education, research experience, or capstone projects).

• Knowledge of ethical AI principles and demonstrated experience in implem