Senior Manager - Lead AI Architect - Control Intelligence
Tasks
- Assess agent authorization architectures through research
- Collaborate with AI security data and infrastructure architects
- Design AI agent control frameworks
- Design AI model synthesis for open source models
- Design agent identity and authentication architecture
- Design multiagent systems and tools
- Design post training tuning and customization environments
- Develop advanced AI capabilities for agentic control
- Drive agent design requirements through AI native design process
- Implement and test architectures with performance benchmarking
- Lead a team of experts to build agentic control harnesses
- Lead universal agent control harness architecture
- Present at academic conferences and support IP filings
- Support business development for emerging technology
Perks/Benefits
Skills/Tech-stack
AI Enterprise | AI architecture | AWS | Agent Authentication | Agent systems | Anomaly Detection | Authorization logging | Azure AI | Azure DevOps | Bash | CI/CD | Docker | Encryption | Execution Environment | Execution environment control | Federated Learning | GitHub | GitLab | Go | Identity Management | Java | Machine Learning | Multi-Agent | Multi-Agent Systems | NVIDIA AI Enterprise | NVIDIA Nemo | Nvidia AI | Observability | Persistence | Policy definition | Python | Rust | State management | Telemetry | TypeScript
Education
Roles
AI | AI Software Architect | Architect | Manager | Senior Manager | Software Architect
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