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Principal AI Engineer

LinkedIn Blue Cross and Blue Shield of Minnesota Eagan, MN
Not Applicable Posted April 17, 2026 Job link
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Requirements
  • This individual has a proven ability to architect and operationalize AI solutions in cloud environments like AWS, Azure, or GCP using modern MLOps, CI/CD, containerization, and monitoring practices.
  • 8+ years of professional experience in data engineering, machine learning engineering, software engineering, or related fields.
  • 5+ years of experience deploying and maintaining ML/AI models in production at enterprise scale.
  • Advanced proficiency in Python, Scala, or comparable languages.
  • Expertise with cloud architectures (AWS, Azure, GCP), including ML‑focused services (e.g., SageMaker, AzureML).
  • Strong experience with orchestration and containerization tools such as Kubernetes, Docker, Airflow, etc.
  • Deep understanding of machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and NLP technologies.
  • Demonstrated experience with generative AI, multimodal systems, LLM fine‑tuning, and prompt engineering.
  • Strong SQL and experience with cloud‑native data ecosystems.
  • Proven ability to architect, deploy, and monitor complex AI/ML solutions in production.
  • Excellent communication, collaboration, and technical leadership skills.
Preferred Skills
  • Advanced degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • Experience in healthcare, health services, or insurance.
  • Expertise in RAG pipelines, vector databases, and enterprise knowledge systems.
  • Experience with real‑time streaming systems, edge AI, or high‑performance model serving.
  • Background in full‑stack engineering incorporating AI‑driven user experiences.
  • Professional certifications in cloud architectures or ML/AI technologies.
Education
  • (Not required) – High school diploma (or equivalency) and legal authorization to work in the U.S.
  • (Not required) – Advanced degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • (Not required) – Professional certifications in cloud architectures or ML/AI technologies.