[Hiring] Senior Machine Learning Engineer @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. You’ll join a highly collaborative, hands-on engineering culture focused on experimentation, learning, and shipping production-grade AI at scale.

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. This role is ideal for someone who wants to shape next-generation AI solutions that directly power insurance workflows.

What you’ll do

• 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 for high-impact use cases such as claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools.
• Develop and optimize LLM solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), vector databases, and fine-tuning.
• Collaborate with Product Strategy, PDO, and Professional Services teams to align GenAI capabilities with broader Product VPMOM and customer adoption goals.
• Establish and apply ML Ops best practices for CI/CD, experimentation, evaluation, observability, and responsible AI.
• Mentor and coach engineers and data scientists, conduct code and design reviews, and champion technical excellence.
• Partner with cross-functional teams to ensure AI solutions adhere to data governance and security controls.

Qualifications

• Demonstrated ability to embrace AI and apply it to your current role.
• 5+ years of professional experience in Machine Learning and/or Data Science.
• Deep expertise in Python and experience building scalable ML/LLM services and pipelines on AWS.
• Strong understanding of ML Ops practices for model development, deployment, monitoring, and lifecycle management.
• Hands-on experience with classical and gradient-boosting models.
• Deep understanding of neural networks and transformer-based architectures for LLMs.
• Experience with prompt engineering, RAG, and related LLM architecture patterns.
• Solid knowledge of evaluating and monitoring LLM performance using NLP and LLM-assisted metrics.
• Demonstrated technical leadership in design decisions and engineering efforts.
• *****MUST HAVE GUIDEWIRE EXPERIENCE*******

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).
• Familiarity with CI/CD and infrastructure-as-code practices and tools.
• Background in insurance, banking, or financial services.

Your Impact

In your first months, you’ll immerse yourself in Guidewire’s Product Strategy and GenAI roadmap, learn our cloud and data platform, and take ownership of core components of the GenAI platform. Within six months, you’ll be leading the design and rollout of new GenAI use cases, delivering measurable “GenAI lifts” that improve efficiency, accuracy, and user experience.

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.