Engineering Manager, AI

Join to apply for the Engineering Manager, AI role at Premera Blue Cross
.

Workforce Classification:
Hybrid

Location:

Mountlake Terrace, Washington (Hybrid role located on campus)

• Build and lead a high-performing team of AI Engineers, Software Engineers, Data Scientists, and Machine Learning Scientists, fostering a culture of innovation, rigorous experimentation, and continuous learning.
• Stay at the forefront and capitalize on advancements in AI by driving alignment with organizational goals.
• Lead cross-functional collaboration with the business, analytical, and technical teams to ideate and develop innovative AI/ML models and actionable insights addressing complex healthcare challenges.
• Lead hands‑on exploration, development, and iterative testing of advanced AI/ML models to drive strategic insights and innovative business solutions. Champion continuous experimentation, rapid prototyping, and data‑driven validation while ensuring timely, high‑quality results.
• Oversee continuous model performance monitoring to detect drift and ensure ongoing validity of AI/ML solutions. Guide re‑training strategies and collaborate on timely issue resolution, maintaining scientific rigor and reliability.
• Collaborate with stakeholders to continuously evaluate the strategic impact and business value of AI/ML prototypes and production models, ensuring that data‑driven insights translate into meaningful outcomes.
• Champion and reinforce rigorous experimentation and development best practices including peer review, reproducible experimentation, and responsible AI principles such as fairness and explainability to maintain high standards in all AI initiatives.
• Mentor and coach AI Engineers, Machine Learning Scientists, and Experimental Engineers. Foster continuous learning, advanced skill development, and professional growth in alignment with emerging AI capabilities.
• Instill a culture of iterative experimentation and flexible, agile‑like development practices, emphasizing robust documentation standards for reproducibility. Encourage continuous improvement through regular retrospectives and process enhancements that accelerate development.
• Establish and uphold comprehensive documentation practices for experimental design, model development, and data usage, ensuring reproducibility and compliance with all corporate standards.
• Build strong partnerships with business leaders, fostering a deep understanding of the potential and outcomes of cutting‑edge AI/ML advancements. Translate complex scientific concepts into clear, compelling narratives, ensuring stakeholders can make informed, data‑driven decisions.

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, or a related quantitative field; or 5+ years equivalent professional experience.
• 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning.
• 5+ years of hands‑on experience developing and validating AI/ML solutions in industries with a track record of effectively transitioning models from research to pilot or POC.
• 5+ years of experience conducting quantitative analytics.

• Advanced degree (Masters/PhD) in a quantitative, computational, or scientific field, with demonstrated expertise in AI/ML development methods.
• 2+ years managing cross‑functional research collaborations or academic/industry partnerships with a strong focus on innovative AI/ML development.
• 5+ years expertise with core data science libraries (Num Py, Pandas, Matplotlib and scikit‑learn) and familiarity with advanced model interpretability libraries (e.g., SHAP, LIME) and statistical tools (e.g., Stats models, PyMC3).
• Experience with NLP libraries (e.g., Hugging Face Transformers, Spa Cy) or specialized packages (e.g., XGBoost, Light
  
  GBM).
• 5+ years experience product ionizing and monitoring AI models and solutions with MLOps frameworks (e.g., MLflow, Kubeflow) for experiment tracking, model packaging, and versioning. Experience applying drift detection and continuous evaluation strategies to maintain the scientific and business relevance of AI/ML solutions.
• 5+ years working…