Infrastructure Engineer – AI Platform
USD 216K-300K (estimate) Senior-level Contract Full Time
Tasks
- Build AI cost tracking and reporting
- Build internal AI powered workflows including RAG pipelines agents and automation
- Define access controls license management and usage policies
- Define model serving routing scaling monitoring and cost controls
- Design AI ML infrastructure modules with Terraform
- Ensure SOC2 and ISO 27001 compliance evidence for AI systems
- Establish governance framework for LLM data usage
- Implement AI developer tooling rollout and operations
- Implement audit trails and observability for inference workloads
- Stand up and manage AI ML infrastructure on GCP
Perks/Benefits
Skills/Tech-stack
Access Control | Amazon Bedrock | Amazon EKS | Amazon SageMaker | Ansible | Atlantis | Auto Scaling | Azure OpenAI | Batching | BigQuery | Cloud Composer | Cloud platform | Cost Management | Data Governance | Embeddings | GitOps | Google Cloud | Google Cloud Platform | ISO 27001 | IaaS | Idle resource cleanup | Inference services | Infrastructure as Code | Kafka | Kubernetes | LLM | LLMOps | License Management | Managed Inference | Managed Inference Services | Model versioning | Monitoring | Observability | Prompt Caching | Puppet | RAG | SOC2 | Spot instances | Terraform | Terraform modules | Vector Databases | Vertex AI | “as-code”
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | Infrastructure | Infrastructure Engineer | Platform Engineer
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