Remote AI Engineer IV — Lead ML Solutions & Production

Premera Blue Cross; Crystal Bay (NV); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, vision, dental coverage

Tuition assistance and retirement plan

Job summary

Premera Blue Cross seeks an experienced AI Engineer IV to lead AI/ML initiatives from concept to production. You will guide solutioning, prototype new AI products, and mentor engineers while delivering reliable AI infrastructure. The role emphasizes ethical AI, explainability, and scalable data pipelines.

You will collaborate across teams to deploy models with low latency APIs, monitor performance, and stay current with AI research. Remote work from home is supported.

Qualifications

• 5+ years in developing, deploying, maintaining AI/ML systems.
• Experience deploying ML algorithms to production.
• Strong software engineering skills and scalable AI infrastructure.

Responsibilities

• Lead AI/ML solution design from concept to production.
• Mentor junior AI engineers and promote best practices.
• Design and implement cloud architectures for multi-faceted AI systems.
• Build robust data pipelines driving large AI workloads.
• Develop low-latency APIs/services for AI deployment.
• Monitor models and AI systems for reliability and performance.
• Document procedures and guide stakeholders on AI strategies.

Skills

AI/ML development

TensorFlow

PyTorch

ML engineering

Explainable AI

Prompt engineering

Agile practices

Data pipelines

Distributed systems

Monitoring & observability

Education

Bachelor's Degree in CS/Statistics/Math or related field

AI Master/PhD or AI certifications

Tools

TensorFlow

PyTorch

JAX

MLX

NumPy

Pandas

Matplotlib

scikit-learn

Job description

Premera Blue Cross seeks an experienced AI Engineer IV to lead AI/ML initiatives from concept to production. You will guide solutioning, prototype new AI products, and mentor engineers while delivering reliable AI infrastructure. The role emphasizes ethical AI, explainability, and scalable data pipelines.

You will collaborate across teams to deploy models with low latency APIs, monitor performance, and stay current with AI research. Remote work from home is supported.