Principal Expert, US Insurance Industry

The role

The Principal Expert for insurance will own the quality of insurance process knowledge, designs, and solutions for US insurers. This person will build insurance benchmarks, define test cases, and work with customers and partners to ensure AI-designed processes work in real carriers.

What you will do

• Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity.
• Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready.
• Work with industry experts, partners and reviewers to maintain and improve quality.
• Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO.
• Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release.
• Evaluate AI outputs from process knowledge and maps to design documents and working solutions.
• Work with applied scientists and engineers to ensure automated AI evaluations match expert judgment.
• Review actual outputs to identify common failure types across regulation, coverage, workflows, data and terminology.
• Turn recurring failures into reusable test cases.
• Share updates on quality, key issues and progress with leadership, product teams and customers.

Required qualifications

• Extensive experience (typically 12+ years) in US insurance.
• Deep P&C or Life & Annuity knowledge across the lifecycle.
• Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams.
• Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA.
• The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why.

Nice to have

• Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records.
• Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs.
• Experience with insurance AI, claims automation or document intake programs.
• Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools.
• Experience leading or calibrating a team of reviewers, auditors or claims QA specialists.
• Commercial lines, workers' compensation, employee benefits or broker/MGA experience.

About the company

UiPath believes in the transformative power of automation to change how the world works. They are committed to creating category-leading enterprise software.