Lead Engineer, AI & Process Automation

Lead Engineer, AI & Process Automation

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 AI solutions using modern coding agents and developer tools 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.

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 building blocks that accelerate every subsequent build, helped grow and develop a team of AI-forward engineers, and earned recognition as a trusted technical partner at the enterprise level. Your work will be visible at the highest levels of the  Requirement: 4 days a week

• 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 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.

• Shape the technical strategy, roadmap, and architectural direction for AI across Corporate Services, prioritizing the use cases with the highest impact on the firm.
• Define and enforce the standards, patterns, and guardrails that govern how AI solutions are built, balancing speed of delivery with long term maintainability, security, and responsible AI practices.
• Evaluate and select the right models, frameworks, and platforms for each problem — commercial LLMs, open source models, agentic frameworks, and Carlyle's broader data and infrastructure stack — in line with the firm's best of breed approach.
• Establish reusable building blocks (component libraries, evaluation frameworks, 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 AI solutions deploy…