COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
Role Overview
KKR’s Insurance business is investing to apply AI more deeply across how we operate, spanning investment, actuarial, ALM, finance, and operations workflows. We are targeting an AI Solutions resource working directly into the business to lead that effort on the ground.
This is a hands-on role, bringing a critical thinking / 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, owning the full arc from discovery to production and scale.
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.
Qualifications
- 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.
- Exposure to financial services, insurance, or asset management strongly preferred; comfort with credit, fixed income, actuarial, or ALM data a clear plus.
- Bias to action, intellectual curiosity, and a strong sense of ownership.
#LI-DNI
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to [email protected]. Only emails left for this purpose will be returned.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.
Skills Required
- 3-5 years building and shipping production software
- Experience in forward-deployed, solutions-engineering, or applied-AI capacity
- Hands-on engineering experience with Python and modern data tooling
- Practical experience with LLM or AI frameworks, including RAG, agents, prompt orchestration, and APIs
- Demonstrated deployment of AI or automation that produced measurable business outcomes
- Product mindset and ability to work directly with users and own outcomes end-to-end
- Excellent communication skills for technical and business audiences
- Exposure to financial services, insurance, or asset management
- Familiarity with credit, fixed income, actuarial, or ALM data
- Bias to action, intellectual curiosity, and strong ownership
KKR Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KKR and has not been reviewed or approved by KKR.
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Fair & Transparent Compensation — Pay is considered strong and often characterized as fair, with a success‑based model intended to tie rewards to realized performance. Feedback suggests this structure improves clarity around how outcomes influence compensation.
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Equity Value & Accessibility — Broad‑based employee ownership is emphasized, giving team members access to options, RSUs, and portfolio‑company equity programs that can yield meaningful upside. This approach is positioned as additional value without trading off wages or core benefits.
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Healthcare Strength — Health coverage is described as comprehensive, with standout elements like an on‑site wellness center at the New York headquarters offering primary care, mental health, and preventive services. Wellness programs, nutrition support, and EAP resources further reinforce a robust health offering.
KKR Insights
What We Do
KKR is a leading global investment firm that offers alternative asset management and capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of The Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. For additional information about KKR & Co. Inc. (NYSE: KKR), please visit KKR’s website at www.kkr.com and on Twitter @KKR_Co.
