AI Engineer IV

Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. Working at Premera means you have the opportunity to drive real change by transforming healthcare.

By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog:

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.

• 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.
• Guide AI engineers on AI/ML and industry best practices and methodologies.
• 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.

• 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.
• At least 6 years of experience in developing deep learning models using Tensor Flow, PyTorch, MLX, JAX, or other modern deep learning frameworks. May supplement with graduate level education or research experience).
• 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 product ionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
• At least 5 years working within Agile-like teams and environments.
• 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 Num Py, Pandas,…