Data & AI Engineer

Company Profile

The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.

Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle Alp Invest - and has deep expertise across industries, markets, and geographies.

At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs).

We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm‑wide data and AI initiatives spanning investment platforms, portfolio operations, investor relations, and corporate functions. The role operates within a federated data operating model, partnering with domain engineering teams to implement shared platforms and reusable patterns for data and AI under the technical direction of the Senior AI & Data Architect.

The Data & AI Engineer is an experienced, hands‑on engineer who turns Carlyle's data and AI architecture into working production systems. Reporting to the Senior AI & Data Architect, this role is responsible for building and operating the pipelines, semantic layers, retrieval systems, and AI‑ready data products that power analytics, automation, LLMs, agents, and generative AI applications across the firm.

The role requires deep, hands‑on expertise across modern data engineering and applied AI engineering. The Data & AI Engineer will implement retrieval‑augmented generation (RAG) patterns, embedding and indexing pipelines, vector stores, and semantic models alongside core ELT, streaming, and analytical pipelines - treating LLMs, agents, and copilots as first‑class consumers of the data platform.

This is a senior individual‑contributor engineering role that executes against architectural standards, contributes to their evolution through hands‑on learning, and partners closely with data science, AI engineering, governance, and domain teams to deliver trusted, AI‑consumable data at enterprise scale.

In the first 12 months, this role will deliver foundational AI‑ready data pipelines and retrieval components defined in the target‑state architecture, product ionize one or more priority RAG or agent‑grounding use cases, and establish reusable engineering patterns that other domain teams can adopt across the federated data platform.

4 days per week

• Build and operate AI‑ready data pipelines - embedding generation, chunking, indexing, and refresh workflows - that make Carlyle's enterprise data reliably retrievable by LLMs, agents, and generative AI applications.
• Implement retrieval‑augmented generation (RAG) components, including vector store integrations, hybrid search, re‑ranking, and grounding logic, against architectural patterns defined by the Senior AI & Data Architect.
• Develop and maintain tool and function interfaces that allow agents and copilots to query and act on enterprise data safely, with appropriate guardrails, logging, and evaluation hooks.
• Part…