Forward Deployed Engineer, Client Solutions Group

Position Summary

This is a senior engineering role at the center of Carlyle's AI strategy, modeled on the Forward Deployed Engineer archetype: hands‑on technical leaders who embed with the business, own end‑to‑end delivery, and operate with full ownership over the outcomes they ship. As a senior individual contributor and architectural authority at the intersection of full‑stack engineering and applied AI, you will set the technical direction that others build against, partnering across a federated operating model of domain and platform teams.

You will embed directly with Client Solutions Group, Finance, and Fund Management teams across GPE, Credit, and Alp Invest to identify the highest‑leverage AI and automation opportunities across Global Wealth operational processes, including NAV reporting, fee models, and financial reporting and ship them into production, translating ambiguous business problems into working software in weeks, not quarters.

You will design, evolve, and deliver full‑stack solutions, and the AI‑ready data foundations, semantic layers, and retrieval patterns beneath them, that turn manual, spreadsheet‑based processes into automated, standardized, and auditable technology that both people and AI agents can rely on.

This position requires someone equally comfortable in a room with Finance and Fund Management stakeholders dissecting a calculation methodology, and at a whiteboard or keyboard designing the data model, semantic layer, pipeline, platform logic, and user‑facing application that will replace it, end to end, full stack.

In the first 12 months, you will have shipped multiple production AI products embedded in real Carlyle workflows, helped define the target‑state architecture for AI‑ready Global Wealth operational processes and established reusable patterns for retrieval and semantic access that accelerate every initiative that follows, and earned recognition as a trusted technical authority at the enterprise level. Your work will be visible at the highest levels of the firm.

4 days per week

• Partner directly with Client Solutions Group product managers, Finance, and Fund Management stakeholders across GPE, Credit, and Alp Invest to understand user and business needs and document current‑state Global Wealth operational processes, calculation logic, and data sources.
• Translate business processes into clear technical requirements and target‑state designs.
• Facilitate working sessions and process walkthroughs with process owners to validate findings, resolve inconsistencies in metric interpretation, and build stakeholder alignment on standardized definitions.
• Act as a trusted advisor to business stakeholders on what automation can realistically deliver, and in what sequence.

• Architect AI‑ready data foundations, semantic layers, contextual metadata, data contracts, and retrieval‑ready knowledge stores, so that LLMs, agents, and generative AI applications can reason reliably over investor and fund data.
• Design and help build the pipelines, calculation logic, and governance controls that automate data processing across the firm’s target‑state architecture.
• Implement AWS‑native services (Lambda, Step Functions, ECS, API Gateway, S3, and RDS) to create a robust technology infrastructure that supports high availability and scalability on the platform.
• Leverage appropriate high‑level languages and frameworks for backend microservices, data processing, and serverless orchestration.
• Work hands‑on to prototype and ship automated replacements for manual processes, prioritizing the highest‑volume, highest‑risk metrics first.
• Architect solutions to support continuous delivery, using techniques like feature flags, canary deployments, and blue/green environments to reduce risk and accelerate release cycles.
• Build automated unit, integration, and end‑to‑end tests to ensure code quality and reliability in production and contribute to a Dev Ops culture by integrating with CI/CD pipelines, observability tools, and security practices from…