AI Engineer IV

Premera Blue Cross

4d•$128,400 - $231,100•Remote

About The Position

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 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.

Requirements

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 5 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master’s/PhD or AI Engineering certifications.
Proven experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).
Proven experience debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.
Knowledgeable about software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.
Adept software engineering skills as well as skills building secure, stable software systems at scale.
Proven experience developing and optimizing ML solutions using languages like Python and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.
Familiarity working with traditional ML lifecycles.
Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny.
Proficient at ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.
Strong communication, collaboration, and mentorship skills.
Ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.

Nice To Haves

At least 6 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 supplement with graduate level education or research experience).
Experience with design patterns and microservices architecture, including at least 3 years with container orchestration in a production environment.
Knowledge of and experience in implementing ethical AI practices, with at least 3 years spent working on projects that require explainable AI, fairness, and bias mitigation.
At least 3 years of expertise in implementing advanced techniques like Retrieval Augmented Generation, Tree of Thoughts, or Multimodal CoT in prompt engineering projects. Experience in leading prompt engineering teams, conducting code reviews, and setting best practices for prompt engineering within the organization is also essential.
Minimum of 4 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
At least 5 years working within Agile-like teams and environments.

Responsibilities

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 technology strategies and roadmaps, and AI related infrastructure strategies and roadmaps.
Meet and collaborate with external stakeholders to conceptualize AI solutions that realize business value while ensuring AI governance adherence, AI best practices, and data quality.
Provide thought leadership to the Premera AI community.

Benefits

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.
Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs 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.