Principal AI/LLM Agent Architect
Tasks
- Build retrieval and grounding approaches
- Create runtime control mechanisms
- Define memory and evaluation frameworks
- Define reference architecture for AI agents
- Define release standards and technical review criteria
- Design LLM orchestration patterns
- Design prompt and tool architecture
- Develop fallback patterns
- Enable audit logging for production
- Enforce least privilege access controls
- Establish secure enterprise integration patterns
- Guide model selection and reliability design
- Implement authentication and secrets handling
- Implement tool and function calling
- Optimize latency and cost tradeoffs
- Partner with leadership on roadmap sequencing
- Provide technical leadership and mentorship
- Recruit and assess AI engineering candidates
- Set safe tool execution standards
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Artificial Intelligence | Audit Logging | Authentication | Cost Optimization | Evaluation | Function Calling | Grounding | LLM orchestration | Language Models | Large Language Models | Latency optimization | Least Privilege | Model selection | Production reliability | Prompt engineering | Retrieval-Augmented Generation | Runtime controls | Secrets management | Security | Semantic Search | Telemetry | Tool-Calling
Education
N/A
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