AI Platform Engineer

Position Summary

Carlyle is hiring an AI Platform Engineer to join our Enterprise Technology team. In this role, you will partner with engineering teams, product owners, and other business stakeholders to design, build, and maintain the AI‑enabled developer platforms used across our global technology organization. As an AI Platform Engineer, you will play a pivotal role in enabling modern AI‑driven development across our engineering organization, supporting a development community of over 500 users.

Your work will directly shape how Carlyle’s engineers design, build, test, and ship software in an AI‑native way.

You will spend your time writing code, building agentic frameworks, integrating AI coding assistants into the SDLC, and creating the platforms, registries, and abstractions that make AI‑driven development safe, repeatable, and scalable inside the firm. You will work with application engineering, cloud operations, security, and architecture teams to identify friction in the developer experience and deliver paved‑road platforms that make AI‑driven practices the default way of working at Carlyle.

4 days per week.

• Design, build, and operate AI‑enabled developer platforms serving a community of over 500 engineers.
• Integrate AI coding assistants and agent runtimes (Claude Code, Cursor, Amazon Bedrock Agent Core, etc.) into developer workflows.
• Build and maintain agentic frameworks, skills and tool registries, MCP gateways, and supporting infrastructure.
• Develop self‑service cloud development environments and internal developer portal capabilities (e.g., Coder).
• Implement paved‑road developer experiences across source control, CI/CD, environments, observability, security, and release management with AI capabilities.
• Prototype and evaluate new AI development tools, agent runtimes, and orchestration patterns, incorporating useful capabilities into the platform.
• Partner directly with engineering teams across the firm to drive adoption of AI‑enabled development practices and translate user feedback into platform improvements.
• Collaborate with security, networking, cloud operations, and architecture teams to ensure platform capabilities are secure, compliant, and well‑integrated with existing infrastructure.
• Contribute to internal documentation and reference implementations that help engineers get the most out of AI‑driven development.

Education & Certificates

• Bachelor’s Degree required, concentration in Computer Science, Software Engineering, Information Technology, or similar.
• Strongly preferred AWS Certified Solutions Architect, AWS Certified Developer, or similar cloud certifications.
• Industry‑standard certifications in platform engineering, Kubernetes, Git Hub, or AI/ML preferred.

Professional Experience

• 5+ years of relevant software or platform engineering experience.
• Hands‑on experience integrating AI platforms and tooling into enterprise engineering workflows, including agent runtimes, AI coding assistants, MCP integrations, and supporting infrastructure.
• Practical experience implementing and managing AI development tools such as Claude Code, Cursor, MCP servers, Coder.
• Demonstrated experience building or operating internal developer platforms (IDPs), self‑service developer environments, software factories, or internal developer portals (Backstage or similar).
• Strong proficiency with AWS services (EKS, ECS, Lambda, API Gateway, IAM, VPC, S3, etc.).
• Strong proficiency with Git Hub Enterprise, Git Hub Actions, reusable workflows, and platform‑level patterns such as Issue Ops and workflow orchestration.
• Strong proficiency with infrastructure as code (Terraform) and modern CI/CD practices.
• Strong proficiency in at least one general‑purpose programming language (Python, Type Script, Go, or similar).
• Demonstrated ability to translate platform investments into measurable developer productivity and adoption outcomes.
• Strong understanding of cloud security principles, identity and access management, and secure‑by‑default platform patterns.

Competencies & Attributes

• Strong problem‑solving skills, with a track record of troubleshooting distributed systems and developer…