Senior Ml Engineer, Generative Ai

Guidewire Software

Base: $160,000 - $240,000; bonus/equity: annual co...
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5+ years machine learning experience
Python and aws sagemaker expertise
Llm architecture and rag patterns
** Guidewire Software is seeking a Senior Machine Learning Engineer specializing in Generative AI to join their team focused on developing AI-driven solutions for property and casualty insurers. The ideal candidate will have extensive experience in machine learning, particularly with large language models, and a collaborative spirit to enhance their cloud-based platform. **

Job Summary

  • This role involves leading the design and evolution of Guidewire's GenAI products to power high-impact use cases like claim summarization and underwriting assistance.
  • Candidates will establish ML Ops best practices ensuring models are auditable, secure, and production-ready at scale while mentoring engineers.
  • The position offers a flexible work environment, market-competitive pay, and opportunities for continual development within a culture of curiosity and innovation.

Matching Summary

Match Score: 75

** Guidewire Software is seeking a Senior Machine Learning Engineer specializing in Generative AI to join their team focused on developing AI-driven solutions for property and casualty insurers. The ideal candidate will have extensive experience in machine learning, particularly with large language models, and a collaborative spirit to enhance their cloud-based platform. **

Salary

Base: $160,000 - $240,000; Bonus/Equity: Annual company bonus plan and long term incentive awards possible; Benefits: Health, dental, vision, paid time off, retirement plan

Skills & Requirements

Must-have

  • 5+ years Machine Learning experience
  • Python and AWS SageMaker expertise
  • LLM architecture and RAG patterns
  • Prompt engineering and vector databases
  • ML Ops CI/CD and model monitoring
  • Transformer models and fine-tuning

Nice-to-have

  • Experience with Docker and Kubernetes
  • Background in P&C insurance domain
  • Familiarity with Terraform and TeamCity
  • SQL, Spark, or AWS Glue pipeline skills
  • Leadership and mentoring capabilities

Key Requirements

  • 5+ years professional ML/Data Science experience
  • Deep expertise in Python and scalable ML services
  • Strong understanding of ML Ops lifecycle management
  • Hands-on experience with neural networks and transformers
  • Demonstrated technical leadership and code review skills

Work Rights

Not specified

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