AI Engineer IV

Premera Blue Cross

25d•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. 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 sophisticated multi-agent systems, implementing cutting-edge retrieval techniques, and prototyping new AI products using advanced orchestration patterns. With substantial experience in deploying AI systems and strong software engineering skills, you'll ensure the creation of reliable and maintainable AI infrastructure leveraging protocols like A2A and MCP. Your expertise will drive innovative AI systems, mentor junior engineers, and push for adoption of cutting-edge AI research and technologies for enterprise-scale agent platforms. This is a 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 degree or AI Engineering certifications.

Nice To Haves

At least 4 years of experience in developing enterprise scale multi-agent systems using advanced orchestration and evaluation frameworks.
Previous experience with novel fusion techniques (TRF, learned rankers) and production GraphRAG at scale.
Experience implementing enterprise AI systems with comprehensive governance, security, and compliance features.
Publications, patents, or significant open-source contributions in agent architectures or advanced retrieval systems.
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.
Mastery of complex multi-agent architectures including distributed orchestration.
Expert knowledge of advanced fusion methods (TRF, tensor-based ranking).
Ability to design enterprise-scale RAG systems with comprehensive governance.
Deep expertise in agent evaluation and benchmarking methodologies.
Proficiency in implementing agent safety systems and attack mitigation.
Advanced knowledge of graph-augmented retrieval and ontology alignment.
Experience with multi-modal agent systems and embeddings.
Ability to design agent communication standards and protocols.
Expertise in token optimization and cost management at scale.
Knowledge of agent pool management and scale-to-zero architectures.
Experience with agent simulation and testing frameworks.
Ability to mentor teams on cutting-edge AI engineering practices.
Understanding of regulatory compliance for agentic AI systems.
Ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.

Responsibilities

Recommend and develop comprehensive multi-agent systems and enterprise AI systems for complex applications and products.
Pitch concepts to team leadership and 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 on Kubernetes using platforms like Azure AI Foundry with comprehensive agent governance.
Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems including graph databases, tensor-based fusion, and multi-model retrieval.
Develop specifications for enterprise-wide agent communication standards, tool governance, and evaluation harnesses to deploy AI models at scale.
Develop the code for monitoring models and AI systems including customer evaluation metrics, agent behavior analytics, and comprehensive drift detection that ensures 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 including architectural decision records.
Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested.
Guide and mentor junior AI engineers on AI/ML and industry best practices and methodologies and emerging standards like A2A, MCP, and novel reasoning/retrieval techniques.
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, 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.