AI Solutions, Associate/ Principal
Boston · Des Moines · New York · USD 100,000-190,000 · 3-5 years experience · Posted Oct 12, 2026
At a glance
- Experience
- 3-5 years experience
- Location
- Boston · Des Moines · New York
- Salary
- USD 100,000-190,000 · Base salary
About the role
- KKR’s Insurance business is investing to apply AI more deeply across how we operate, spanning investment, actuarial, ALM, finance, and operations workflows.
- This is a hands-on role bringing a critical thinking and problem-solving skill set along with AI and/or engineering skills.
- Rather than sit in a central technology function, you will embed alongside the teams who do the work, identify the highest-value problems AI can solve, and build and ship the tools that solve them.
Responsibilities
- 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: 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.
Requirements
- 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.
- Bias to action, intellectual curiosity, and a strong sense of ownership.
Preferred qualifications
- Exposure to financial services, insurance, or asset management strongly preferred
- Comfort with credit, fixed income, actuarial, or ALM data a clear plus
Skills
- Python
- LLM
- RAG
- Agents
- Prompt Orchestration
- APIs
