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.
TEAM OVERVIEW
KKR is investing in a newly created AI, Data and Platform Technology team. We are dedicated to engineering transformative platforms that drive strategic business outcomes and enhance competitive advantage. With a key focus on innovation and scalability, engineers collaborate to develop data-driven solutions that drive KKR's investment strategies and operational efficiencies. Experience the excitement of leveraging cutting-edge engineering at the forefront of financial technology, where your contributions accelerate growth and sustainable success.
KKR’s Technology team is pivotal in building and supporting the firm’s technological foundation. Recognized as a key business enabler, technology at KKR accelerates global scale and business transformation. The team drives excellence by evolving technology into platform-based capabilities, enhancing agility and business impact.
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.
KEY RESPONSIBILITIES
• 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.
QUALIFICATIONS
REQUIRED
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in AI/ML, Generative AI, and software engineering.
• Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch.
• Demonstrated experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services.
• Strong understanding of machine learning algorithms and data structures.
• Database and SQL experience.
• Excellent problem-solving skills and the ability to work independently.
PREFERRED
• Experience with financial datasets, including time-series data and market analytics.
• Familiarity with MLOps practices and tools.
• Knowledge of data privacy regulations and ethical considerations in AI.
• Strong communication skills and experience working in cross-functional teams.
#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.
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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.
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