Sr. Staff Enterprise AI Architect
Tasks
- Architect centralized MCP gateways
- Architect multi-agent systems
- Coordinate stakeholders on AI capabilities and ROI
- Define agent communication delegation persistent state
- Design RBAC and ABAC mechanisms
- Design model routing strategies
- Design scalable AI systems
- Enable semantic chunking document ingestion embeddings
- Implement agentic SDLC processes
- Implement continuous agent evaluation harnesses
- Implement deterministic security guardrails
- Lead enterprise architecture decisions
- Mentor AI engineers
- Monitor hallucination rates and agent drift
- Select and optimize vector databases
- Standardize secure agent discovery authentication connection
Perks/Benefits
Skills/Tech-stack
ABAC | Agent observability | Autonomous Agents | CI/CD | Data masking | Dense retrieval | Embeddings | Generative AI | Hybrid search | Identity Management | LLM Evaluation | LLM orchestration | LLM-as-a-Judge | Language Models | Large Language Models | MLOps | Model Context Protocol | Model routing | OAuth | Okta | Python | RBAC | Retrieval-Augmented Generation | Semantic chunking | Small Language Models | Sparse Retrieval | Tracing | Vector Database
Education
Roles
AI | AI Architect | Architect | Enterprise AI | Enterprise AI Architect
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