Forward Deployed Engineer - AI/ML Platforms
Core
Partner with enterprise AI organizations to design, deploy, and operate production-grade distributed AI workloads on Ray and cloud infrastructure.
Role type
Forward Deployed Engineer (AI/ML Platforms)
Builds
Scalable AI platforms and distributed AI applications for enterprise customers
Domain
Cloud Infrastructure, Distributed Systems, Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Cloud Infrastructure (AWS/Azure/GCP), Infrastructure as Code, Python/Go/Java, Distributed Systems, Customer Engagement, Technical Architecture, Automation/Tooling
Preferred skills
Ray, Spark, Dask, Enterprise Consulting Experience
Technologies
Kubernetes, Terraform, Helm, GitOps, AWS, Azure, GCP, Ray, Spark, Dask
Responsibilities
Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure; Partner with customer teams to deploy, operate, and optimize distributed AI workloads; Lead implementation engagements covering installation, networking, security, and scaling; Troubleshoot complex distributed systems issues; Develop automation, tooling, and infrastructure-as-code; Collaborate with Product and Engineering to shape future platform capabilities; Share best practices through documentation and workshops.
Seniority
Mid-Senior, hands-on IC with customer-facing responsibilities
