AI Platform Engineer (Cloud) - KE

Tasks

• Build chargeback and showback cost reporting
• Configure Kubernetes AI workloads and model serving
• Deploy and operate enterprise AI infrastructure
• Design multi-cloud AI platform architecture
• Develop agentic AI infrastructure and orchestration
• Implement AI FinOps monitoring and cost optimization
• Implement infrastructure as code and reusable components
• Implement platform observability and alerting
• Implement zero trust security controls for AI services
• Perform incident response and root cause analysis

Perks/Benefits

• N/A

Skills/Tech-stack

AI Foundry | AWS Bedrock | AWS CDK | Access Control | Amazon Web Services | Attribute-Based Access Control | Attribute-based access | Azure AI | Azure AI Foundry | Azure Cost Management | Cost Explorer | Cost Management | Data Loss Prevention | Data loss | Databricks | Databricks Lakehouse | Databricks Lakehouse Monitoring | Datadog | Docker | FinOps | Grafana | Helm | Hugging Face | Infrastructure as Code | Injection prevention | JWE | JWS | JWT | Kubernetes | Lakehouse Monitoring | Loss prevention | Managed Identity | Microsoft Azure | OAuth 2.0 | OpenID Connect | OpenTelemetry | Prometheus | Prompt injection | Prompt injection prevention | Pulumi | Role-Based Access | Role-Based Access Control | Service Principal | Terraform | Vector Database | Web Services | Zero Trust | “as-code”