KKR

1 month ago

AI Engineer - AI, Data & Platforms

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join KKR’s Technology team in Gurugram as an AI Engineer working at the intersection of data engineering and applied AI. You will translate ambiguous business problems into production AI systems, build data pipelines and LLM-based applications, own data quality and observability, and ship end-to-end AI solutions across private equity, infrastructure, real estate, and credit verticals.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner directly with business stakeholders across KKR's investment and operational teams to translate ambiguous problems into AI-driven solutions.
•Build and maintain the data pipelines, feature stores, and retrieval layers that power KKR's enterprise AI systems.
•Develop, evaluate, and iterate on LLM-based applications, agents, and ML models in production, with a strong focus on evaluation rigor and user impact.
•Own data quality, lineage, and observability for AI workloads, ensuring outputs meet the accuracy and reliability standards required in a financial services environment.
•Operate end-to-end AI use cases — scoping the problem, shaping the data, building the system, and shipping it — without relying on a separate data science function.
•Partner with Applied AI and Technology Strategy teams to adapt globally developed AI use cases into production-ready workflows for KKR's businesses.
•Apply strong engineering fundamentals — clean code, structured problem decomposition, and clear technical communication — to ensure AI systems move efficiently from concept to deployment.

Key Requirements

•6+ years of experience across data engineering and applied ML/AI, with a track record of shipping production systems in complex environments.
•Strong Python skills, with deep fluency in SQL and the modern data stack (Airflow/Dagster, dbt, Spark, Snowflake/Databricks).
•Hands-on experience building with LLMs, including RAG, fine-tuning, evaluations, and agentic workflows.
•Demonstrated ability to take a vague business question, cut through ambiguity, and turn it into a shipped product.
•Exceptional communication skills, with the ability to engage both technical and non-technical stakeholders.

Experience:6+ yearsFinancial servicesPrivate equityReal estateInfrastructure

Skills:PythonSQLAirflowDagsterDbtSparkSnowflakeDatabricksLLMsRAGFine-tuningAgentic workflowsProduction systemsData pipelines

Languages:English

Tech Stack:PythonSQLAirflowDagsterDbtSparkSnowflakeDatabricksLLMsRAG

Company Brief

KKR

Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1976

Website LinkedIn

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KKR