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.

POSITION SUMMARY

KKR is seeking a seasoned Senior AI Engineer for development and deployment of cutting-edge Generative AI and ML solutions. This is a multi-disciplinary with business-facing responsibilities requiring ownership across the entire project lifecycle—from ideation through deployment and ongoing optimization.
This role requires a deep understanding of cloud-native architecture and proficiency in Python programming. Experience with financial data is highly desirable. The ideal candidate will possess a strong foundation in machine learning, data analysis, and a passion for building scalable AI systems that drive innovation and efficiency.

$200,000 - $235,000 USD

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

• End-to-end project lifecycle ownership: Encompassing ideation, requirements gathering, prototyping, development, MVP delivery, and long-term maintenance of production-grade AI solutions that are tailored for business purposes.
• Business-facing collaboration: Partner closely with product owners, stakeholders, business consumers, App Dev teams, and domain experts to translate business goals into technical solutions.
• Agile project delivery: Actively engage in sprint ceremonies—planning, daily stand-ups, backlog grooming, sprint reviews and retrospectives. Manage backlog items, prioritize based on business value, and ensure timely delivery.