Engineer, AI & Process Automation

The Carlyle Group is a global investment firm focused on delivering AI and automation solutions across various business domains. The Engineer, AI & Process Automation will be responsible for embedding with business stakeholders to scope and deliver AI products, automate processes, and ensure high-quality engineering practices.

Responsibilities:

• Embed with business stakeholders to scope and ship AI and automation products that change how Carlyle works
• Own delivery on the products you build: discovery, requirements, build, deployment, adoption, and iteration, in partnership with your manager and the rest of the team
• 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 at the leading edge: prototype in days, harden in weeks, and operate at firm scale
• Partner deeply with users in their environment so that what you ship is what they actually use, not what they asked for in a kickoff meeting
• Write production quality code and apply rigorous engineering practice: code review, testing, deployment hygiene, monitoring, and incremental hardening of high stakes systems
• Use modern AI coding agents and developer tools (Claude Code, Cursor) and the surrounding DevOps stack effectively to deliver faster without sacrificing quality
• Build within the team’s standards, patterns, and guardrails for AI solutions, and contribute back improvements as you discover them
• Contribute reusable building blocks (components, evaluation harnesses, prompt and agent patterns, deployment templates) so each new use case starts further down the field than the last
• Partner with infrastructure, data, and security teams to ensure what you ship deploys cleanly into Carlyle’s environment and meets enterprise standards for observability, controls, and audit
• Stay current on the AI landscape and bring promising tools, models, and techniques to your manager and the team for evaluation