Forward Deployed Engineer - AI/ML Platforms

About this role

Anyscale seeks a Forward Deployed Engineer to work directly with enterprise customers deploying production AI workloads on Ray and Anyscale's platform. You'll architect, implement, and operate scalable AI infrastructure on Kubernetes and major cloud providers while partnering with customer teams to solve complex distributed systems challenges.

What you'll do

• Design and deploy production AI platform architectures on Kubernetes, AWS, Azure, and GCP
• Partner with customer platform and ML engineering teams to implement and optimize distributed AI workloads
• Lead end-to-end implementation engagements including installation, networking, security, and operational readiness
• Troubleshoot complex distributed systems issues across infrastructure, Kubernetes, networking, and applications
• Develop automation, tooling, and infrastructure-as-code to accelerate customer implementations
• Provide technical guidance and gather feedback to influence product evolution

What they're looking for

• Kubernetes and containerized production environments
• Cloud infrastructure (AWS, Azure, GCP) including networking, security, and IAM
• Infrastructure as Code and DevOps tools (Terraform, Helm, GitOps)
• Distributed systems troubleshooting
• ML/AI platform operations and optimization
• Software engineering and automation
• Customer technical engagement and partnership
• CI/CD pipelines and modern DevOps practices