Head of AI Agent Systems
Tasks
- Accelerate experimentation on pricing and enrollment
- Build fraud detection and compliance support systems
- Debug system level issues in multi agent coordination
- Define standards for agent usage across teams
- Design and deploy agent driven workflows
- Design evaluation systems for reliability
- Enable product development workflows in agents
- Implement system wide reporting for agent performance
- Improve agent output quality
- Improve agent to agent coordination
- Improve conversion and onboarding through automation
- Improve multi agent system architecture and performance
- Introduce validation layers and retry logic
- Lead and scale a small engineering team
- Redesign agent workflows for reliable execution
- Reduce manual processes by shifting execution to agents
- Tie agent performance to revenue and usage outcomes
- Track success rates and failure types
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Compliance | Debugging | Developer tools | Evaluation | Experimentation | Fraud Detection | LLM-Ops | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Retry logic | Software Architecture | System design | Validation | Workflow automation
Education
N/A
Roles
AI | AI Engineer | Engineer | Head | Head of AI | Head of AI Systems | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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