AI Engineer IV

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.you'll 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.

As an
** AI Engineer IV,
** 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
* 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.
* 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.
* 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 Graph

RAG 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 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.
* 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.
*…