Engineer, AI & Process Automation

The Carlyle Group is hiring an Engineer, AI & Process Automation to build and deliver AI and automation products for its Corporate Services teams. The role translates business needs into production applications, agentic workflows, and copilots, while contributing reusable engineering patterns and supporting adoption.

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

Preferred

• Concentration in computer science, software engineering, mathematics, physics, data science, or a related technical field, preferred
• Master's degree, preferred
• Financial services experience preferred
• Computer Science
• Mathematics
• Physics
• Data Science
• Related Technical Field
• Master’s Degree
• Financial Services Experience

Benefits

• Retirement benefits
• Health insurance
• Life insurance and disability
• Paid time off
• Paid holidays
• Family planning benefits
• Various wellness programs
• May also be eligible to participate in an annual discretionary incentive program; the award is dependent on various factors, including individual and organizational performance.
• 4 days a week in-office for D.C. and NY employees, or remote.

Company

• Global private equity, credit, and private capital firm
• Washington, District of Columbia, USA
• http://www.carlyle.com/
• Founded in 1987
• 1001-5000 employees

Qualifications

• Bachelor's degree, required
• 5+ years of overall relevant hands on engineering experience, required
• 2+ years building and shipping production AI applications LLM powered apps, agentic workflows, RAG systems, or copilots to real users, required
• Fluency with modern AI coding agents and developer tools (e.g., Claude Code, Cursor) and the surrounding DevOps stack version control, CI/CD, testing, containerization, and cloud deployment
• Deep experience working across both structured data (lakehouse, warehouse, transactional, and time series sources) and unstructured data (PDFs, documents, transcripts, semi structured sources) at scale. Hands on with document intelligence, OCR pipelines, LLM based extraction, and workflow automation that integrates these into end to end business processes
• Strong coding fundamentals in Python and TypeScript or Java. Comfortable across the stack, from Spark transforms to React front ends
• Experience working directly with business users to scope and ship software in regulated, high stakes environments
• Concentration in computer science, software engineering, mathematics, physics, data science, or a related technical field, preferred
• Master's degree, preferred
• Financial services experience preferred

Required skills

• Agentic Workflows, CI/CD, DevOps, Document Intelligence, Financial Services, Java, LLM Applications, OCR, Production AI Applications, Python, RAG, React, Spark, Stakeholder Collaboration, TypeScript, Workflow Automation

Preferred skills

• Financial services experience preferred, Master's degree, preferred

Experience

• 5+ years