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. In 2024, Newsweek honored Premera as one of America's Greatest Workplaces, America's Greatest Workplaces for Diversity, and America's Greatest Workplaces for Mental Wellbeing. Additionally in 2024, 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 is a remote/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 implementing or assessing explainable AI and fairness measures in at least one project.

• Be able to apply basic prompt engineering techniques in practice as demonstrated by certification or completion of one or more projects. As part of this, familiarity with tools like LangChain or Chainlit for generating and refining prompts is essential. Familiar with advanced concepts such as Chain of Thought (CoT) Prompting and Self Consistency, and the role of in-context learning in prompt engineering.

• Completed at least one RAG application with tools or technologies like LangChain or Llama Index.

• Participation in at least one multi-member team practicing Agile methodologies.

Knowledge, Skills, and Abilities

• Familiarity with deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).

• Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.

• Experience productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring.

• Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.

• Exposure to software engineering as well as building secure, stable software systems at scale.

• Proficiency in developing and optimizing ML solutions using languages like Python and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.

• Familiarity with traditional ML lifecycles.

• Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.

• Familiarity working within Agile-like teams and environments.

Premera total rewards

Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including:

• Medical, vision, and dental coverage with low employee premiums.

• Voluntary benefit offerings, including pet insurance for paw parents.

• Life and disability insurance.

• Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.

• Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.

• Generous paid time off to reenergize.

• Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.

• Employee recognition program to celebrate anniversaries, team accomplishments, and more.

For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.

• Commuter perks make your trip to work less impactful on the environment and your wallet.

• Free convenient on-site parking.

• Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.

• Engaging on-site events and activities include food trucks, health and wellness, DEI and disaster preparedness fairs, coffee connects, and more.

• Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.

• Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.

Equal employment opportunity/affirmative action:

Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law.

If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at careers@premera.com or via phone at 425-918-4785.

Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin.

The pay for this role will vary based on a range of factors including, but not limited to, a candidate’s geographic location, market conditions, and specific skills and experience.

The salary range for this role is posted below; we generally target up to and around the midpoint of the range.

National Salary Range:

National Plus Salary Range:

*National Plus salary range is used in higher cost of labor markets including Western Washington and Alaska.

We’re happy to discuss compensation further during the interview because we believe that open communication leads to better outcomes for all. We’re committed to creating a diverse and inclusive environment where all employees are celebrated for their unique skills and contributions.