2 days ago
Base Salary
$270k - $330k/yr
Responsibilities
- Design and guide enterprise-scale AI and machine learning systems.
- Set technical strategy for large-scale systems serving enterprise customers.
- Design and implement production multi-agent systems and agentic AI architectures.
- Establish guardrails, safety mechanisms, and controls for AI models in production.
- Architect real-time data pipelines and platform modernization initiatives.
- Lead engineering teams and direct technical architects.
- Guide SaaS platform architecture and scaling.
Requirements
- At least 12 years of professional experience, including enterprise-scale AI/ML architecture and delivery.
- Production experience designing multi-agent or agentic AI architectures and AI safety controls.
- Experience leading architecture decisions and technical strategy for large-scale enterprise systems.
- Background in cybersecurity, risk management, or security ratings.
- Experience with real-time data pipelines, platform modernization, and SaaS architecture.
- Leadership experience managing engineering teams or technical architects.
Benefits
- Annual base salary of $270,000 to $330,000.
- Hybrid role based in New York, New York.
