Principal AI/LLM Agent Architect
Tasks
- Build reusable platform standards for AI agents
- Configure audit logging and runtime controls
- Create scalable observable agent systems
- Define AI agent reference architecture
- Define release standards and technical review criteria
- Define security least privilege access
- Design LLM orchestration patterns
- Design secure integrations with enterprise platforms
- Develop retrieval and grounding
- Establish agent evaluation frameworks
- Implement authentication and secrets handling
- Implement tool and function calling
- Lead roadmap sequencing with leadership
- Mentor and guide architecture and coding patterns
- Recruit and assess AI engineering candidates
- Select models for reliability and cost
Perks/Benefits
- Adoption Assistance
- Dental insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Retirement plan match
- Vision insurance
- Volunteer opportunities
Skills/Tech-stack
Agent Orchestration | Audit Logging | Authentication | Evaluation | Function Calling | Grounding | LLM orchestration | Language Models | Large Language Models | Least Privilege | Model selection | Observability | Prompt engineering | Retrieval-Augmented Generation | Runtime controls | Scalable System Design | Secrets management | Security Architecture | Semantic Memory | System design | Tool-Calling
Education
N/A
Roles
AI | AI Engineer | AI Solutions | AI Solutions Architect | Architect | Engineer | Principal | Principal AI Engineer | Solutions Architect
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