Forward Deployed Engineer - Investment Systems

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 is hiring a Forward Deployed Engineer to help bring AI into the daily work of teams across the firm. This is a hands-on engineering role with a builder's mindset: you are an embedded extension of the engineering team that works directly with investment teams to understand how their work gets done, then design, build, and ship production AI systems that improve it.

Your “customers” are internal: colleagues across private equity, credit, infrastructure, real estate, insurance and capital markets. You will sit with these teams and observe their workflows firsthand. You will identify where fragmented data, repetitive tasks, and manual handoffs slow high-value work, and translate ambiguous business challenges into well-defined technical problems. You will then own the solution end to end, from architecture, code, data integration, to evaluation, deployment, and adoption, in close partnership with your direct engineering teammates, product, AI, data, security, and platform colleagues.

The best solutions you build will not stay one-off. You will convert successful implementations into reusable skills, tools, agents, and workflow components that scale across teams and strengthen the firm’s broader AI platform. If you are an engineer who wants your code to shape how a leading global investment firm works, this role offers rare scope and impact.

• Engage teams across KKR’s businesses to observe how work is delivered, going beyond documented requirements to understand information flows, decision points, and day-to-day realities.

• Identify high-value opportunities where AI can remove bottlenecks, connect fragmented data, eliminate repetitive work, or improve the speed and quality of decisions.

• Translate loosely defined business challenges into clear technical problem statements, solution architectures, and delivery plans.

• Design, build, and ship production-grade AI applications, agents, integrations, and workflow automations using modern languages such as Python or TypeScript.

• Connect structured and unstructured data across enterprise systems and make it reliably usable by AI-enabled applications through pipelines, retrieval systems, and well-designed interfaces.

• Create, test, and maintain reusable AI skills, tools, prompts, connectors, evaluation frameworks, and workflow components that can be shared across teams and business units.

• Establish rigorous