AI Solutions, Insurance

Overview

Embedded, hands-on AI Solutions role within KKR's Insurance business, building and shipping AI/LLM-powered tools across investment, actuarial, ALM, finance, and operations workflows.

What you'll do

• Embed directly with Insurance stakeholders (investing, actuarial, ALM, portfolio management, finance, and operations) to surface high-value, AI-addressable problems.
• Build and ship AI / LLM-powered tools and workflows end-to-end, including data pipelines, agents and automations, and user-facing applications.
• Re-engineer and automate manual workflows; measure adoption and business impact, then scale what works across the franchise.
• Integrate AI capabilities with internal data, models, and platforms, ensuring solutions are production-grade, secure, and compliant.
• Partner with central data, engineering, and AI teams, acting as the bridge between them and the Insurance business.
• Set the standard for how the Insurance business adopts AI, pragmatically, safely, and at pace.

What you'll need

• 3-5 years building and shipping production software, ideally in a forward-deployed, solutions-engineering, or applied-AI capacity.
• Strong, current hands-on engineering: Python and modern data tooling.
• Practical experience with LLM / AI frameworks (RAG, agents, prompt orchestration) and APIs.
• A demonstrated record of deploying AI / automation that drove measurable business outcomes, not just prototypes.
• A product mindset: comfort with ambiguity, talking directly to users, and owning outcomes end-to-end.
• Excellent communication, able to translate fluidly between technical and business audiences.
• Critical thinking / problem solving skill set along with AI and/or engineering skills.

Nice to have

• Exposure to financial services, insurance, or asset management.
• Comfort with credit, fixed income, actuarial, or ALM data.

Details

• Location: Boston; Des Moines; New York, New York, United States.
• Base salary range $100,000 to $190,000 USD for the New York-based position; actual pay may vary by skill, experience, and qualification. Eligible for a discretionary bonus.