AI Product Engineer

Travelers•Hartford, AR

About The Position

Travelers' Business Intelligence & Analytics team builds the data products and AI-powered tools that actuaries, underwriters, and decision scientists rely on to price risk and make decisions. As an AI Data Engineer, you will own a portfolio of production analytics tools — including pricing, scenario modeling, experience analysis, and underwriting support platforms — while applying Generative AI and agentic development techniques to modernize how insurance professionals interact with data. You will work with decades-deep, proprietary datasets spanning millions of policies across Management Liability and Surety lines— the kind of rich, structured data that makes AI genuinely transformative. Our team uses Claude Code and agentic AI workflows daily to accelerate development. If you think of AI as your primary engineering teammate rather than an autocomplete tool, you'll thrive here.

Requirements

3+ years of experience in data engineering, analytics engineering, or applied AI/ML development
Strong proficiency in Python and SQL
Experience building and deploying data pipelines or analytical applications in cloud environments (Databricks, Azure, or AWS)
Demonstrated ability to own outcomes end-to-end — from problem identification through production delivery — not just execute assigned tasks
Experience working directly with business stakeholders to translate needs into technical solutions
Strong communication skills with the ability to make technical concepts accessible to non-technical partners
Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
2 additional years of software/data engineering experience.

Nice To Haves

Domain & Industry Experience in P&C insurance, reinsurance, or financial services data environments
Familiarity with insurance analytics workflows: pricing, underwriting, reserving, experience analysis, or scenario modeling
Understanding of insurance data structures — policy, claim, premium, and loss data
Experience with insurance or analytics tools (Guidewire)
AI & Technical Hands-on experience with AI coding tools — Claude Code, Cursor, GitHub Copilot — used as a daily development accelerator, not just an autocomplete
Experience building applications using GenAI techniques: RAG architectures, LLM integration, prompt engineering, structured output generation
Familiarity with agentic AI frameworks (LangChain, LangGraph, or similar)
Experience with MLOps practices: model versioning, monitoring, feature stores, CI/CD for ML
Proficiency with Databricks (Unity Catalog, Delta Lake, medallion architecture)
Experience with dbt, Apache Airflow, or similar orchestration and transformation tools

Responsibilities

Data Product Ownership & Delivery Own the end-to-end lifecycle of insurance data products — including pricing tools, scenario modeling, experience analysis, and underwriting support platforms — from requirements gathering through production deployment and ongoing enhancement
Define and prioritize the product backlog for your portfolio, ensuring stakeholder needs across actuarial, underwriting, and decision science teams drive platform evolution
Measure product performance through KPIs tied to business outcomes — pricing accuracy, quote velocity, analysis turnaround, underwriting efficiency — and adjust the roadmap based on real results
Make critical trade-off decisions in collaboration with leadership to maximize value delivery across competing priorities
Build deep domain expertise in Management Liability insurance workflows, becoming the trusted technical partner for your lines of business
Embedded AI Development & Prototyping Extend the embedded AI development model to modernize insurance analytics tools using GenAI capabilities — including document intelligence, conversational data exploration, and automated analysis generation
Prototype and iterate on AI-powered solutions in real-time using Claude Code, agentic workflows, and modern platform services
Build proof-of-concepts that demonstrate feasibility for new AI capabilities within insurance workflows
Partner with actuaries, underwriters, and decision scientists to test and validate AI solutions in their actual working environment, ensuring real-world effectiveness before scaling
Identify opportunities to apply GenAI techniques — RAG, entity extraction, structured output generation — to accelerate insurance analytics processes that currently require manual effort
Automation & Tool Development Build and operationalize data pipelines that capture, transform, and deliver data to support AI/ML and business intelligence initiatives
Develop automation for repetitive insurance analytics processes and workflows, directly impacting pricing outcomes, underwriting quality, or operational efficiency
Create reusable templates, reference implementations, and platform abstractions that accelerate future AI-powered tool deployments across additional lines and use cases
Leverage Python, SQL, and cloud-native services (Databricks) to build scalable, production-grade solutions
Stakeholder Partnership & Knowledge Transfer Gather and document requirements from teams across Management Liability, Surety and Claim — actuarial, underwriting, and research & development — translating business needs into clear technical specifications
Manage IT delivery partnerships and monitor delivery to ensure solutions meet business needs and timelines
Facilitate knowledge transfer between business teams and engineering, ensuring domain context flows into technical design and technical capabilities flow back into practice
Share insights, best practices, and reusable patterns across teams to ensure alignment and consistency in analytical approaches
Platform Evolution & Best Practices Identify patterns across multiple team engagements to inform platform-level abstractions and reusable AI components
Collaborate with IT and engineering teams to generalize and scale successful prototypes into enterprise platform capabilities
Establish and evangelize best practices for AI-augmented development, including effective use of Claude Code, prompt engineering, and agentic workflow orchestration
Create clear documentation on data products, architectural decisions, and development patterns that enable the team to move faster

Benefits

Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

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