
Senior Machine learning Engineer
Guidewire SoftwareBase Salary
$162k - $258k/yr
Responsibilities
- Lead the design, implementation, and evolution of Guidewire’s Generative AI and LLM products.
- Build data ingestion, feature, ML, and LLM pipelines for training, fine-tuning, deployment, monitoring, and production operations on AWS.
- Develop LLM solutions using prompt engineering, retrieval-augmented generation, vector databases, and fine-tuning.
- Build AI use cases including claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools.
- Establish MLOps practices for CI/CD, experimentation, evaluation, observability, responsible AI, model governance, and lifecycle management.
- Evaluate and monitor ML and LLM performance with attention to safety, robustness, reliability, user experience, and cost efficiency.
- Lead technical design decisions, complex engineering efforts, code reviews, and architecture reviews.
- Mentor and coach engineers and data scientists.
- Collaborate with Product Strategy, PDO, Professional Services, Security, Finance, BizTech, and GTM teams to align AI capabilities with product and customer goals.
Requirements
- 5+ years of professional experience in Machine Learning and/or Data Science, including end-to-end delivery of production ML systems.
- Deep expertise in Python and experience building scalable ML/LLM services and pipelines, ideally on AWS.
- Strong knowledge of MLOps practices including model development, deployment, monitoring, experiment tracking, model registries, drift detection, and CI/CD for ML.
- Hands-on experience with classical and gradient-boosting models such as GLM, Random Forest, and XGBoost.
- Deep understanding of neural networks and transformer-based architectures for LLMs and chat models, including foundation-model fine-tuning and inference.
- Experience with prompt engineering, retrieval-augmented generation, LLM architecture patterns, and vector databases for semantic search and retrieval.
- Experience evaluating and monitoring LLM performance using NLP and LLM-assisted metrics.
- Demonstrated technical leadership through design ownership, complex engineering leadership, mentoring, and code and architecture reviews.
- Guidewire experience is explicitly required.
- Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
- Preferred experience with SQL, Spark, AWS Glue, Docker, Kubernetes, backend APIs, TeamCity, and Terraform.
- Preferred background in insurance, banking, or financial services, or willingness to develop deep P&C insurance expertise.
Benefits
- Flexible work environment.
- Health, dental, and vision insurance and other health and wellness benefits.
- Paid time off programs, including volunteer time off.
- Market-competitive pay and incentive programs.
- Continual development and internal career growth opportunities.
- In-person orientation is part of the onboarding process.
- Full-time positions and part-time roles working 30 or more hours per week are eligible for benefits.
- Some roles may be eligible for annual bonuses, commissions, and/or long-term incentive awards.
Tech Stack
Categories
About Guidewire Software
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. More than 570 insurers in 43 countries, from new ventures to the largest and most complex in the world, rely on Guidewire products. With core systems leveraging data and analytics, digital, and artificial intelligence, Guidewire defines cloud platform excellence for P&C insurers. We are proud of our unparalleled implementation record, with 1,700+ successful projects supported by the industry’s largest R&D team and SI partner ecosystem. Our marketplace represents the largest partner community in P&C, where customers can access hundreds of applications to accelerate integration, localization, and innovation. For more information, please visit https://www.guidewire.com/.