AI Engineer IV

Premera Blue Cross · Insurance · Telecommuter

AI Engineer IV at Premera Blue Cross responsible for developing and deploying AI/ML solutions from conception to production. This role involves leading the design, implementation, and monitoring of AI systems, including cloud architecture, data pipelines, and low-latency APIs. The position requires a strong software engineering background and experience in ethical AI practices.

What you'd actually do

  1. Recommend and develop comprehensive systems and frameworks for AI applications and products.
  2. Pitch concepts to team leadership and then 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.
  4. Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems.
  5. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications.

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.
  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • scikit-learn

Nice to have

  • Deep learning models using TensorFlow, PyTorch, MLX, JAX
  • Theano
  • Caffe
  • design patterns
  • microservices architecture
  • container orchestration
  • ethical AI practices
  • explainable AI
  • fairness
  • bias mitigation
  • Retrieval Augmented Generation
  • Tree of Thoughts
  • Multimodal CoT
  • prompt engineering
  • productionizing AI models
  • scalable data pipelines
  • robust monitoring systems
  • Agile-like teams and environments
  • CNNs
  • transformers
  • GANs
  • LSTMs
  • GNNs
  • Autoencoders
  • Diffusion Models
  • Neural Ordinary Differential Equations (NODEs)
  • hyperparameter tuning
  • distributed computing
  • Streamlit
  • Shiny

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 successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
  • At least 3 years of expertise in implementing advanced techniques like Retrieval Augmented Generation, Tree of Thoughts, or Multimodal CoT in prompt engineering projects.
  • Knowledge of and experience in implementing ethical AI practices, with at least 3 years spent working on projects that require explainable AI, fairness, and bias mitigation.

Other signals

  • developing, deploying, and maintaining AI or ML systems
  • productionizing AI models
  • designing and implementing the cloud architecture of large multi-faceted AI systems
  • developing specifications for low latency APIs and services necessary to deploy AI models