Senior AI Machine learning Engineer

Guidewire Software; Oregon; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work environment

Health and wellness benefits

Paid time off programs

Market-competitive pay and incentives

Job summary

Guidewire Software seeks a Senior ML Engineer, GenAI, to lead end-to-end GenAI and LLM initiatives, shaping data pipelines, evaluation frameworks, and flagship features. You will drive design decisions, mentor peers, and deliver production-grade AI across our P&C insurance platform.

You will partner with product strategy and engineering teams to align capabilities with roadmaps, ensure security, and optimize performance, cost, and reliability in a scalable cloud environment.

Qualifications

• 5+ years in Machine Learning or Data Science with end-to-end production ML delivery.
• Strong Python and scalable ML/LLM service development, ideally on AWS (S3, EC2, RDS, SageMaker).
• Experience with ML Ops: CI/CD, experiment tracking, model registries, drift detection.
• Hands-on with classical/gradient-boosting models (GLM, Random Forest, XGBoost).
• Understanding of neural networks/transformers for LLMs, fine-tuning and inference.
• Experience with prompt engineering, RAG, vector databases for semantic search.
• Experience evaluating and monitoring LLM performance with NLP metrics; focus on safety and UX.
• Demonstrated technical leadership; mentoring and code/architecture reviews.
• *****MUST HAVE GUIDEWIRE EXPERIENCE*****

Responsibilities

• Lead design, implementation, and evolution of GenAI/LLM products and pipelines on AWS.
• Architect robust ML/LLM pipelines powering high-impact use cases across the product portfolio.
• Develop and optimize LLM solutions using prompt engineering, RAG, vector databases, and fine-tuning.
• Collaborate with Product Strategy and cross-functional teams to align GenAI capabilities with roadmaps and goals.
• Establish ML Ops best practices for CI/CD, experimentation, observability, and responsible AI.
• Mentor engineers and data scientists; conduct code and design reviews.
• Partner with Security, Finance, BizTech, and GTM to ensure governance and security controls.
• Contribute to Guidewire's mission to transform P&C insurers with cloud and AI.

Skills

Python

ML Ops

Prompt engineering

RAG

Vector databases

NLP

LLMs

Data pipelines

CI/CD

Education

Bachelor's or Master's in CS or related field

Tools

SageMaker

Docker

Kubernetes

SQL

Spark

AWS Glue

TeamCity

Job description

Summary 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. We partner closely with Product, Engineering, and Go-to-Market teams to embed AI, cloud, and data capabilities across the portfolio, enabling secure, scalable, and reliable solutions for our customers. 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. You will own critical components of our LLM infrastructure, from data pipelines and prompt engineering through fine-tuning, deployment, and monitoring of models in production. This role is ideal for someone who wants to shape next-generation AI solutions that directly power insurance workflows, support our Agentic AI product vision, and help deliver measurable outcomes for customers globally.

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 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 (including Claims Summary, Underwriting Assistant, Codelift, and other GenAI "lifts").
• 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, and contribute to Guidewire's mission to transform how P&C insurers do business through cloud, analytics, and AI.
• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What you'll bring

Required

• 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 (including CI/CD for ML, experiment tracking, model registries, and drift detection).
• 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, including familiarity with open-source foundation models and their fine-tuning and inference.
• 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, with a focus on safety, robustness, and user experience.
• Demonstrated technical leadership: driving design decisions, leading complex engineering efforts, mentoring peers, and conducting thoughtful code and architecture reviews.
• *****MUST HAVE GUIDEWIRE EXPERIENCE*******

Preferred

• 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 to better shape high-value AI and GenAI use cases.

Your Impact

We believe in clarity and setting you up for success. 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 one or more core components of the GenAI platform such as data pipelines, evaluation frameworks, or a flagship LLM-powered feature. Within six months, you'll be leading the design and rollout of new GenAI use cases across products like Claims Summary, Underwriting Assistant, and developer tooling, delivering measurable "GenAI lifts" that improve efficiency, accuracy, and user experience for our customers. Your work will directly advance Guidewire's mission to transform how P&C insurers operate with cloud and AI, enabling secure, scalable, and impactful AI solutions that support billions of dollars in insurance transactions and help shape the future of the industry worldwide.

What's in it for you

• 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.*

About Guidewire

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, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit and follow us on Twitter: @Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position. Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at , our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.