AI Engineer IV

Premera Blue Cross · Insurance · Telecommuter

AI Engineer IV at Premera Blue Cross, focusing on developing and deploying enterprise-scale multi-agent AI systems. Responsibilities include designing cloud architecture, data pipelines, agent governance, and monitoring systems, as well as mentoring junior engineers and advising on AI strategies. Requires significant experience in AI/ML systems development and deployment.

What you'd actually do

  1. Recommend and develop comprehensive multi-agent systems and enterprise AI systems for complex applications and products.
  2. Pitch concepts to team leadership and lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources.
  3. 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.
  4. 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.
  5. Develop specifications for enterprise-wide agent communication standards, tool governance, and evaluation harnesses to deploy AI models at scale.

Skills

Required

  • 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

Nice to have

  • 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 pract

What the JD emphasized

  • Minimum of 5 years of industry experience in developing, deploying, and maintaining AI or ML systems
  • 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
  • Minimum of 4 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems

Other signals

  • Developing AI/ML solutions from conception to production
  • Guiding the solutioning of sophisticated multi-agent systems
  • Implementing cutting-edge retrieval techniques
  • Prototyping new AI products using advanced orchestration patterns
  • Deploying AI systems
  • Enterprise-scale agent platforms