Senior AI Architect/Engineer
Tasks
- Align solutions with Azure GCC High FedRAMP and DoD IL
- Build secure API layers for approved models
- Coordinate with IT on networking identity and security
- Create architecture documentation and SOPs
- Deploy secure AI infrastructure in Azure GCC High
- Design enterprise AI platform architecture
- Enable access to frontier models using RAG
- Ensure CMMC compliance requirements
- Implement RBAC and audit logging
- Implement access controls and data governance
- Integrate AI models into analytics pipelines
- Manage model lifecycle evaluation approval deployment
- Prototype troubleshoot and performance tune AI applications
- Provide hands on support for AI application deployment
- Set up monitoring and usage tracking
- Support containerized service deployment patterns
Perks/Benefits
- N/A
Skills/Tech-stack
800-171 | API | Audit Logging | Azure | Azure AI | Azure GCC High | CMMC | Cloud Architecture | Containers | Docker | Embeddings | FedRAMP | GCC-High | Identity integration | Infrastructure as Code | Language Models | Large Language Models | Lifecycle Management | Logging | Managed Services | Model Lifecycle | Model Lifecycle Management | Monitoring | NIST 800 | NIST 800-171 | Private Endpoints | RAG | RBAC | REST API | Service authentication | Service to Service | Service-to-Service Authentication | Usage tracking | Vector Databases | “as-code”
Education
N/A
Roles
AI Architect | AI Engineer | Architect | Engineer | Senior AI Architect | Senior AI Engineer
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