[Hiring] Senior ML Engineer, Generative AI @Guidewire Software

Role Description

Guidewire’s Generative AI (GenAI) team sits within Product Strategy and plays a critical role in shaping the future of our cloud and AI-powered platform for P&C insurers worldwide. As a Senior ML Engineer, Generative AI, you will be a technical leader driving the design, development, and operation of Guidewire’s end-to-end GenAI solutions and Large Language Model (LLM) capabilities.

• Lead the design, implementation, and evolution of Guidewire’s GenAI and LLM products, including data ingestion, feature pipelines, model training, fine-tuning, deployment, and monitoring on AWS (e.g., S3, EC2, RDS, SageMaker).
• Architect and build robust ML/LLM pipelines that power high-impact use cases such as claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools across our product portfolio.
• Develop and optimize LLM solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), vector databases, and fine-tuning to deliver reliable, safe, and high-performing experiences for insurance users.
• Collaborate with Product Strategy, PDO, and Professional Services teams to align GenAI capabilities with the broader Product VPMOM, Agentic AI product roadmap, and customer adoption goals.
• Establish and apply ML Ops best practices for CI/CD, experimentation, evaluation, observability, and responsible AI, ensuring models are auditable, secure, and production-ready at scale.
• Mentor and coach engineers and data scientists, conduct code and design reviews, and champion technical excellence, including performance, reliability, and cost efficiency of AI workloads.
• Partner with cross-functional teams (Security, Finance, BizTech, GTM) to ensure AI solutions adhere to data governance and security controls.

Qualifications

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.
• 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 using services such as S3, EC2, RDS, and SageMaker.
• Strong understanding of ML Ops practices for model development, deployment, monitoring, and lifecycle management.
• Hands-on experience with classical and gradient-boosting models (such as GLM, Random Forest, and XGBoost) and their application to real-world business problems.
• Deep understanding of neural networks and transformer-based architectures for LLMs and chat models.
• Experience with prompt engineering, RAG and related LLM architecture patterns, and vector databases for semantic search and retrieval.
• Solid knowledge of evaluating and monitoring LLM performance using NLP and LLM-assisted metrics.
• Demonstrated technical leadership: driving design decisions, leading complex engineering efforts, mentoring peers, and conducting thoughtful code and architecture reviews.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, or equivalent practical experience.
• Experience building data pipelines and features using SQL, Spark, or AWS Glue.
• Experience with containerization and orchestration (Docker, Kubernetes) and creating backend APIs to expose ML/LLM services.
• Familiarity with CI/CD and infrastructure-as-code practices and tools such as TeamCity and Terraform.
• Background in insurance, banking, or financial services, or interest in becoming deeply fluent in P&C insurance.

Benefits

• Flexible work environment.
• 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.

Company Description

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service.

• More than 540+ insurers in 40 countries run on Guidewire.
• We are proud of our unparalleled implementation track record with 1600+ successful projects.
• Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.