Senior AI Engineer: Healthcare ML Architect (Remote)

Premera Blue Cross

Colorado

Remote

USD 140,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Medical, vision, and dental coverage
401K employer match
Pension plan vested after 3 years
Tuition assistance
On-site resources access (hybrid-era)

Job summary

Premera Blue Cross seeks an AI Engineer IV to drive AI/ML solutions from concept through production, mentoring engineers and shaping AI strategy. You will deploy and monitor models, lead agile-like development, and collaborate with stakeholders on governance, data quality, and scalable AI infrastructure.

The role emphasizes building robust data pipelines, low-latency APIs, and applications, with strong software engineering foundations and ethical AI practices.

Qualifications

  • 5+ years of experience developing, deploying, and maintaining AI/ML systems.
  • Experience deploying ML algorithms and building reliable AI infrastructure.
  • Experience in ethical AI, explainable AI, fairness, and bias mitigation.

Responsibilities

  • Lead solutioning of complex AI challenges from conception to production.
  • Mentor junior engineers and guide AI/ML best practices.
  • Design and scaffold data pipelines and low-latency APIs for AI models.

Skills

AI/ML leadership
Deep learning
TensorFlow
PyTorch
Python
Agile practices
Explainable AI
Prompt engineering

Education

Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field
AI-centered Master's/PhD or AI Certifications (optional)

Tools

TensorFlow
PyTorch
ML pipelines
Docker
Kubernetes

Job description

Premera Blue Cross seeks an AI Engineer IV to drive AI/ML solutions from concept through production, mentoring engineers and shaping AI strategy. You will deploy and monitor models, lead agile-like development, and collaborate with stakeholders on governance, data quality, and scalable AI infrastructure.

The role emphasizes building robust data pipelines, low-latency APIs, and applications, with strong software engineering foundations and ethical AI practices.

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