Senior AI Platform Engineer — Remote with Office Day

Blue Cross Blue Shield of Nebraska

Kansas

Hybrid

USD 135,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Remote-friendly

Job summary

Blue Cross and Blue Shield of Nebraska is seeking a senior AI Platform Engineer to scale an AI-enabled platform that connects business and technology teams. You will shape AI-enabled solutions, drive adoption, and ensure measurable business outcomes across Medical Management, Claims, Customer Service, and more.

The role requires deep Python expertise, production ML experience, and strong collaboration across stakeholders.

Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • Experience operating LLM-based systems in production.
  • Strong Python skills and cloud-native AI tooling knowledge.
  • Proven track record in AI platforms, MLOps, and observability.

Responsibilities

  • Identify AI opportunities and build a roadmap of agent initiatives with measurable value.
  • Design future-state workflows and automate processes with AI agents.
  • Bridge business and technical teams to translate requirements into agent-enabled solutions.
  • Lead change management and adoption of AI-powered work processes.
  • Measure business impact and optimize AI initiatives using KPIs.
  • Develop governance and scaling principles for enterprise AI deployments.

Skills

Strong Python skills
ML/LLM operations
Agile/Scrum
Communication
Problem solving

Education

Bachelor's degree

Tools

Azure OpenAI
Azure Monitor
Azure Container Apps
Azure AI Search
PostgreSQL
Redis
LangSmith
GitHub Actions
Prometheus
Grafana
Delta Lake

Job description

Blue Cross and Blue Shield of Nebraska is seeking a senior AI Platform Engineer to scale an AI-enabled platform that connects business and technology teams. You will shape AI-enabled solutions, drive adoption, and ensure measurable business outcomes across Medical Management, Claims, Customer Service, and more.

The role requires deep Python expertise, production ML experience, and strong collaboration across stakeholders.

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