Hiring: Forward Deployed Engineer - Investment Systems Company: KKR Location: New York, NY Job Posted Time: 2026-09-15 11:51:36 Target Skills & Keywords : Capital Markets, Data Pipeline, Embedded Systems, LLM, Python, TypeScript About the job Required Skills: •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 evaluations and success metrics that measure accuracy, reliability, adoption, time saved, decision quality, risk reduction, and business impact. •Move rapidly from discovery to prototype to production while upholding high standards for security, data protection, privacy, compliance, reliability, and maintainability. Qualifications: •A strong software engineering foundation, with hands-on experience designing, building, and operating production systems — at least or equivalent demonstrated capability. •Proficiency in Python, TypeScript, or comparable modern programming languages, with experience across APIs, cloud platforms, distributed systems, and enterprise integrations. •Practical experience building applications with large language models — including agents, retrieval-augmented generation, tool use, and orchestration — and evaluating their behavior. •Facility with data: pipelines, databases, retrieval systems, and unstructured content, and the judgment to make imperfect enterprise data usable. •Genuine commercial curiosity and a strong desire to learn KKR’s businesses — how investments are evaluated, how decisions are made, and which outcomes matter. •Comfort operating in ambiguity: the ability to take a vague problem, ask good questions, uncover needs users may not initially articulate, and converge on a concrete solution. •The range to move fluidly between writing code, discussing architecture, observing workflows, and engaging senior business stakeholders. •Act as a conductor across a diverse set of stakeholders — including business teams, business-aligned product and engineering, AI platform product and engineering, and data operations — to align priorities, resolve dependencies, and drive projects forward to successful delivery. •A commitment to engineering quality — testing, observability, security, privacy, and responsible AI practices — even when moving quickly. •Clear communication and a collaborative, low-ego working style, with the ability to give and receive direct feedback. Compensation: •$180,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!