Engineer, AI & Process Automation

Company ProfileThe Carlyle Group (NASDAQ: CG) is a global investment firm with $485 billion of assets under management, across 678 investment vehicles as of June 30, 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 AlpInvest - 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. Position SummaryThe AI Engineer, AI & Process Automation, is a hands-on individual contributor within Carlyle's Corporate Services Technology organization. Reporting to the Lead Engineer, AI & Process Automation, you will help build and ship AI and automation solutions for business domains including Finance, Tax, Human Capital, Legal & Compliance, and Marketing & Communications. Corporate Services is where AI can compound the firm's operating leverage fastest: high-volume document and data workflows, deep institutional knowledge, and clear measures of throughput and quality. We are building Carlyle's next generation of AI-native products against that opportunity, and we are investing in the talent, tooling, and platforms required to win. This is a builder's role. You will work alongside senior engineers and business stakeholders to turn well-scoped business problems into working software, and you will own the components and features you build from development through production. Over time, you will take on larger pieces of work and greater ownership as you grow with the team. You will build AI solutions using modern coding agents and developer tools such as Claude Code and Cursor, along with the surrounding DevOps stack. Your work will include applications, agentic workflows, and copilots tailored to how Corporate Services actually works. Carlyle takes a best-of-breed approach to AI, and you will help apply the right models, frameworks, and tools to each problem rather than defaulting to a single vendor. What Success Looks LikeIn the first 12 months, you will have made meaningful engineering contributions to multiple production AI products used in real Corporate Services workflows, independently delivered well-defined features and components with high quality and reliability, adopted and improved the team's patterns and building blocks, and built strong working relationships with the business users and engineering peers you support. In-Office Requirement: 4 days a week Primary ResponsibilitiesSolution Delivery (≈70%) • Build features and components for AI and automation products, working with senior engineers and your manager on design and • scope. • Work directly with business users to understand their workflows, clarify requirements, and gather feedback on what you build. • Develop AI-native capabilities including agentic workflows, LLM-powered analytics, document intelligence pipelines, and • human-in-the-loop copilots. • Implement end-to-end automation for Corporate Services processes, covering intake and data capture, approvals, exception handling, • and integration with downstream systems. • Prototype quickly, iterate based on user feedback, and help harden solutions for production. • Support the deployment, monitoring, and ongoing improvement of the solutions you contribute to. Engineering Craft & Reusability (≈30%) • Write production-quality code and follow rigorous engineering practices, including code review, testing, deployment hygiene, and • monitoring. • Use modern AI coding agents and developer tools (Claude Code, Cursor) effectively to deliver faster without sacrificing quality. • Build within the team's standards, patterns, and guardrails for AI solutions, and suggest improvements as you find them. • Contribute to shared building blocks such as components, evaluation harnesses, prompt and agent patterns, and deployment • templates. • Participate in code reviews, giving and receiving feedback to raise quality across the team. • Work with infrastructure, d