[Hiring] AI Engineer @Guidewire Software

Role Description

Concierge is Guidewire's omnichannel AI agent for P&C carriers. It answers the phone when a policyholder has just had an accident, takes first notice of loss, asks the questions a good adjuster would ask, and writes a clean claim into ClaimCenter. It runs in production today with real carriers and real policyholders, not as a demo.

Two things make this harder than a typical chatbot:

• It has synchronous voice: latency is a product requirement, not a metric on a dashboard.
• FNOL is a regulated event where the quality of the intake determines the eventual cost of the claim. A missed question early is a bigger loss reserve later.

You will build, evaluate, and harden the agent itself: the orchestration, the context it sees, the tools it can call, and the evals that tell us whether a change made it better or just different.

Our rollout philosophy is a dimmer, not a light switch. We widen the agent's autonomy one notch at a time, and every notch has to be earned with evidence. Much of your work is producing that evidence, then acting on what it says.

Qualifications

• Building and deploying AI applications.
• Software engineering fundamentals.
• Using coding agents.
• Shaping the build.

Requirements

• You've shipped an LLM application that real users depend on, and you know that the hard part is that the output is not predictable.
• You're fluent in the building blocks LLMs, context engineering, RAG, agentic workflows, and you have real ML and deep learning depth underneath that fluency.
• You can reason about cost, latency, reliability, and scalability as tradeoffs rather than goals.
• You've designed data stores and distributed systems, you write tests, and you take security and privacy seriously.
• You work with coding agents daily and you're good at it.
• You won't be handed a finished spec; you'll be in the room where we decide what the agent should do next.
• You keep learning; this field looks different every six months.

Nice to have

• Real-time or streaming voice systems (ASR, TTS, telephony, SBC/SIPREC).
• Insurance, claims, or another regulated domain where being wrong has a cost attached.
• Experience building internal eval or observability tooling other engineers actually adopted.
• Experience in Machine learning principles, or have experience in model experimentations, training and deploying models in Productions.
• Experience in P&C Insurance or exposure to Guidewire products and services.
• Prompt or pipeline optimization frameworks (DSPy, GEPA) applied to a production system.

How to apply

Send a short note about something you shipped where the model's unpredictability was the central problem, and what you did about it. We care more about that than about a list of frameworks.

Benefits

• The US base salary range for this full-time position is - . Your base pay will depend on your experience, skills, education, training, and location among other factors.
• All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan.
• Some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

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, from new ventures to the largest and most complex in the world, run on Guidewire.
• 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.