Lead Data Engineer (hybrid)

American Family Insurance

Madison, WI, US
$131,000.00 - $220,000.00; not specified; not spec...
Hybrid (minimum 10 days per month in office)
Service-oriented data and ai platform
Production ai/ml systems at scale
Llms in production (rag, agents)
American Family Insurance is seeking a Lead Data Engineer to guide their Data Platform team in developing service-oriented data and AI solutions. The role entails overseeing engineers, designing platform capabilities, and collaborating with various departments, while offering a hybrid work model based in Madison, WI

Job Summary

  • Oversee a team of engineers in advancing our service-oriented data and AI platform.
  • Design and build platform capabilities that multiple teams consume, including feature stores, observability tooling, and evaluation pipelines.
  • Assess existing AI applications and establish standards for code quality, testing, deployment, and observability.

Matching Summary

Match Score: 85

American Family Insurance is seeking a Lead Data Engineer to guide their Data Platform team in developing service-oriented data and AI solutions. The role entails overseeing engineers, designing platform capabilities, and collaborating with various departments, while offering a hybrid work model based in Madison, WI.

Salary

$131,000.00 - $220,000.00; Not specified; Not specified

Skills & Requirements

Must-have

  • Service-oriented data and AI platform
  • Production AI/ML systems at scale
  • LLMs in production (RAG, agents)
  • Expert-level Python software engineering
  • GCP (Vertex AI, Pub/Sub, BigQuery)
  • Kubernetes for container orchestration

Nice-to-have

  • Mentoring data scientists and engineers
  • Code reviews and architectural guidance
  • Infrastructure-as-code tools (Terraform, Docker)

Key Requirements

  • Experienced Lead Data Engineer
  • Minimum 10 days/month in office
  • Experience building AI/ML systems in production
  • Deep software engineering fundamentals
  • Hands-on experience with LLMs in production
  • Expert-level Python programming
  • Experience designing and building APIs
  • Deep experience with GCP
  • Applied knowledge of Kubernetes

Work Rights

Not specified

Tailored Resume

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