Forward Deployed Engineer - AI/ML Platforms

Highlights

• Partner with world’s most sophisticated AI organizations on production workloads.
• Design and operate infrastructure powering large-scale distributed AI applications.
• Provide feedback that directly influences evolution of the Anyscale platform.

What they offer

• Equity

Ideal candidate

Customer-obsessed platform engineer who thrives solving complex infrastructure problems alongside enterprise teams. Passionate about building reusable solutions and shaping evolving AI platforms.

Requirements

• 5+ years in cloud infrastructure, platform engineering, DevOps, SRE, or software engineering
• Experience building, deploying, or operating ML/AI platforms for training, inference, or data processing
• Strong expertise with Kubernetes and containerized production environments
• Experience operating cloud infrastructure on AWS, Azure, or GCP including networking, security, IAM and storage
• Experience with Infrastructure as Code and DevOps tooling such as Terraform, Helm, GitOps and CI/CD
• Strong software engineering skills in Python, Go, Java, or comparable language
• Experience in customer-facing engineering such as consulting, professional services, field engineering, or solutions architecture
• Excellent communication skills with executive and deeply technical stakeholders
• Familiarity with distributed frameworks such as Ray, Spark, or Dask is a strong plus
• Willingness to travel to work alongside strategic customers