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

We are seeking a seasoned Senior AI Engineer for development and deployment of cutting-edge Generative AI and ML solutions. 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.

#LI-ONSITE

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

• Design, develop, and deploy AI framework components for enterprise and commercials utilization
• Integration of Large Language Models and Research Augmented Generation Platforms
• Architect and implement scalable, secure, and cost-effective AI solutions on cloud platforms such as AWS, GCP, and/or Azure.
• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.
• Optimize model performance through hyperparameter tuning, A/B testing, and continuous monitoring.
• Document processing at scale with embeddings and indexing for Semantic Search.
• Knowledge Graph integration.
• Develop and maintain CI/CD pipelines for AI Agents deployment.
• Application usage and observability capabilities.
• Ensure compliance with data privacy regulations and implement ethical AI practices.