ENGINEERING
Cloud Infrastructure Engineer, AI Workloads
Design the cloud foundations enterprise AI runs on: GPU clusters, inference gateways, private model endpoints and the network and identity plumbing that lets regulated clients use frontier models safely.
- Dallas
- Engineering
- Full-time
What you’ll do
- Architect client landing zones where AI workloads meet enterprise security and residency requirements
- Automate provisioning of model gateways, vector databases and eval infrastructure
- Optimise inference cost and performance across providers and regions
- Ensure compliance controls are enforced in code, not slide decks
- Partner with client platform teams through build, handover and their first quarter of operations
What we’re looking for
- 4+ years with AWS, Azure or GCP, including their AI stacks (Bedrock, Azure OpenAI Service, Vertex AI)
- Strong Terraform or CloudFormation, with multi-account/landing-zone experience
- Experience with GPU capacity planning, spot strategies and inference autoscaling
- Understanding of private networking for model endpoints: PrivateLink, VPC peering, egress control
- Knowledge of FinOps practices for AI spend — token budgets, showback, anomaly alerts
What we offer
- Competitive salary
- Comprehensive benefits package
- Remote work options
- Cloud certification budget
- Flexible work arrangements