AI Platform Engineer
Atlanta Center of Excellence, United States
USD 153K-236K (estimate) Senior-level Full Time
Tasks
- Build vector stores and embedding pipelines
- Coordinate with information security for compliance
- Define reusable AI architecture patterns
- Deliver technical presentations and training
- Deploy and version AI models
- Design AI agent infrastructure
- Establish CI CD patterns for AI workloads
- Evaluate AI models and frameworks
- Implement retrieval services
- Implement retrieval-augmented generation patterns
- Maintain AI model lifecycle management
- Maintain platform documentation and reference architectures
- Manage AI control plane
- Manage AI workload cost and capacity
- Participate in AI architectural review
- Provide technical mentorship and guidance
- Provide telemetry logging and audit data
- Support AI platform vendor integrations
- Use Infrastructure as Code for deployments
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | AWS Bedrock | Access Management | Azure AI Foundry | Azure OpenAI | CI/CD | Capacity Planning | Cloud Networking | Cloud Security | Cost Management | Docker | Embedding | Embedding pipelines | Google Vertex | Google Vertex AI | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Orchestration | Powershell | Prompt management | Python | RAG | REST API | Retrieval-Augmented Generation | Scripting | Terraform | Vector Database | Vector Store | Vertex AI | “as-code”
Roles
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