KKR

Financial Services

AIEngineer-AI,Data&Platforms

₹35–55L ~AI est. Gurugram, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Engineer - AI, Data & Platforms at KKR. Skills: Data Engineering, Applied AI, LLM Applications, ML Models. Partner with business stakeholders. Translate problems into AI solutions”

What You'll Achieve.

Drive measurable value; Meet accuracy standards; Meet reliability standards

Industry & Context.

Financial Services
Problems you'll solve

Problem decomposition; Decision making

What They're Looking For.

Must Have

6+ years data engineering, 6+ years applied ML/AI, Python skills, Deep fluency SQL, Modern data stack experience, Hands-on LLM experience, Ability to turn business question into product, High signal-to-noise thinking, Grit, Exceptional communication skills

Nice to Have

Experience with private equity, Experience with infrastructure, Experience with real estate, Experience with financial services, Hands-on LLM application deployment, Hands-on ML model deployment, Familiarity with AI evaluation frameworks, Familiarity with prompt engineering, Familiarity with agentic system design, Exposure to AI adoption patterns, Exposure to change management, Exposure to digital transformation programs, Advanced degree in relevant field

What You'll Do.

Partner with business stakeholders

Translate problems into AI solutions

Maintain data pipelines

Maintain feature stores

Build retrieval layers

Maintain retrieval layers

Develop LLM-based applications

Evaluate LLM applications

Iterate on LLM applications

Own observability for AI workloads

Ensure accuracy standards

Ensure reliability standards

Operate end-to-end AI use cases

Apply engineering fundamentals

Ensure efficient concept to deployment

How You'll Work.

Team & Collaboration

Applied AI teams; Technology Strategy teams; Business stakeholders

Communication Scope

Technical communication; Engage stakeholders

Full Job Description

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. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drives organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR. TEAM OVERVIEW KKR's Technology team operates as a strategic partner to the business, driving the tools, platforms, and capabilities that enable KKR's investment professionals and operational teams to work with greater speed, precision, and insight. The AI Engineering function sits within the Technology organization and is responsible for building the data foundations, applied AI systems, and platform infrastructure that power KKR's enterprise AI strategy — from foundational model infrastructure to production AI applications that create measurable business value. POSITION SUMMARY KKR is looking for KKR is looking for an AI Engineer to join our Technology team in Gurugram. This role sits at the intersection of data engineering and applied AI, responsible for translating ambiguous business problems into production AI systems that drive measurable value across KKR's investment and

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