Description
We are seeking an AI and ML Platform Infrastructure Engineer to build and own the AI and ML platform infrastructure for Cyber Architecture and Solutions. You will lead engineering delivery of the data fabric pipeline, translating AI Architecture's data fabric design into built, tested, and vendor-ready infrastructure.
Key Responsibilities:
- Own the AKS and GKE clusters, GPU node pools, and model-serving tier
- Lead engineering delivery of the data fabric pipeline
- Own Kubernetes and container orchestration for AI and ML workloads
- Own CI/CD pipelines for AI and ML delivery
- Integrate security controls into the platform by design
- Prepare data fabric and platform handover packages
- Lead the platform engineers delivering the data fabric and model-serving tier
Requirements:
- 15+ years in platform, cloud, or AI security engineering in a regulated environment
- Leading AI/ML platform engineering , Kubernetes and CI/CD for AI/ML workloads, GPU and compute provisioning, model serving, vector database operations
- Building the data fabric pipeline to specification with security by design
- Managing the vendor's agentic transformation of the data fabric and vendor readiness for operations handover
Preferred Qualifications:
- Terraform, infrastructure as code, and cloud-native tooling
- Cloud IAM, workload protection, and AI workload detection controls
- Compute and data pipeline infrastructure supporting autonomous AI agent operation
- GPU and compute cost management and capacity planning for AI workloads
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