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NEXTMOVEFDE careers · United States
The Carlyle Group

Lead Engineer, AI & Process Automation

AI summary of the role

Hands-on engineering leader driving AI and process automation across Carlyle's Corporate Services (Finance, Tax, HR, Legal, Marketing).

What you’ll do

  • Embed with business stakeholders to identify, scope, and ship AI products that transform Corporate Services workflows.
  • Own end-to-end execution from discovery to production, including architecture, build, deployment, adoption, and iteration.
  • Build AI-native applications: agentic workflows, LLM-powered analytics, document intelligence pipelines, and human-in-the-loop copilots.
  • Lead and mentor a team of AI-forward engineers, setting technical direction and raising engineering standards.

What you’ll bring

  • 7+ years hands-on engineering experience.
  • 3+ years building and shipping production AI applications (LLM apps, agentic workflows, RAG, copilots).
  • Fluency with AI coding agents (Claude Code, Cursor) and DevOps stack (CI/CD, containerization, cloud).
  • Experience leading engineers (people management or tech lead) for production software.

Technologies

Claude Code · Cursor · LLM · RAG · agentic workflows · copilots · document intelligence · OCR · Python · TypeScript · Java · Spark

Source and classification

Internal deployment & tooling · Evidence for this classification:

Position Summary The Lead Engineer, AI & Process Automation sits within Carlyle’s Corporate Services Technology organization and is dedicated to driving AI and automation solutions across business domains including Finance, Tax, Human Capital, Legal & Compliance, and Marketing & Communications partnering directly with function leaders to reimagine how this work gets done. 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 aggressively in the talent, tooling, and platforms required to win. This is a builder’s role at the center of Carlyle’s AI and process automation strategy for Corporate Services: a hands on engineering leader
More from the job description

Position Summary The Lead Engineer, AI & Process Automation sits within Carlyle’s Corporate Services Technology organization and is dedicated to driving AI and automation solutions across business domains including Finance, Tax, Human Capital, Legal & Compliance, and Marketing & Communications partnering directly with function leaders to reimagine how this work gets done. 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 aggressively in the talent, tooling, and platforms required to win. This is a builder’s role at the center of Carlyle’s AI and process automation strategy for Corporate Services: a hands on engineering leader who embeds with the business, owns end to end delivery, and operates with full ownership over the outcomes they ship. You will embed directly with Carlyle’s Corporate Services functions Finance, Tax, Human Capital, Legal & Compliance, Marketing & Communications, and the other enterprise teams that run the firm to identify the highest leverage AI opportunities and ship them into production, translating ambiguous business problems into working software in weeks, not quarters. You will build custom [... source excerpt omitted ...] surrounding DevOps stack to deliver applications, agentic workflows, and copilots tailored to how Corporate Services actually works. Carlyle takes a best of breed approach to AI: you will compose the right models, frameworks, and platforms for each problem rather than committing the firm to a single vendor. You will also help lead and grow the team, mentoring more junior engineers on the team, raising the technical bar, and shaping how the function delivers software at scale. What Success Looks Like In the first 12 months, you will have shipped multiple production AI products embedded in real Corporate Services workflows, established the engineering patterns and reusable buil [... source excerpt omitted ...] ion Delivery (≈45%) Embed with business stakeholders to identify, scope, and ship next generation AI products that change how Carlyle works. Own end to end execution: discovery, requirements, architecture, build, deployment, adoption, and iteration. Build AI native applications including agentic workflows, LLM powered analytics, document intelligence pipelines, and human in the loop copilots that turn data into decisions. Automate high-volume Corporate Services processes end to end — from intake and data capture through approvals, exceptions, and downstream systems — retiring manual work and freeing teams to focus on higher-value judgment. Move at the speed required to keep AI a

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