Job description

ABOUT THE ROLE Join a cybersecurity company as a Principal AI Architect, leading the design and technical strategy for enterprise-scale AI systems. This senior role will help shape how AI capabilities are built and operated in a security-focused SaaS environment. WHAT YOU'LL DO - Set AI and machine learning architecture direction for large-scale systems serving enterprise customers. - Design and deliver production-ready multi-agent and agentic AI architectures. - Build guardrails, safety mechanisms, and control systems for AI models in production. - Guide real-time data pipeline architecture and platform modernization initiatives. - Lead engineering teams and provide technical direction to architects. - Apply cybersecurity and risk domain expertise to AI and SaaS platform decisions. WHAT WE'RE LOOKING FOR - At least 12 years of professional experience, including leadership in AI/ML architecture and enterprise-scale system delivery. - Experience designing and implementing multi-agent AI systems in production. - Strong background in AI/ML technical strategy, model safety, real-time data platforms, and SaaS architecture at scale. - Experience in cybersecurity, risk management, or security ratings, along with a record of integrity in professional settings. - Experience leading engineering teams or managing technical architects. COMPENSATION & BENEFITS Base salary: $270,000 to $330,000 annually. Visa sponsorship is not available. LOCATION Hybrid role based in New York, New York.

Requirements

Must-haves

Set AI and machine learning architecture direction for large-scale systems serving enterprise customers.
Design and deliver production-ready multi-agent and agentic AI architectures.
Build guardrails, safety mechanisms, and control systems for AI models in production.
Guide real-time data pipeline architecture and platform modernization initiatives.
Lead engineering teams and provide technical direction to architects.
Apply cybersecurity and risk domain expertise to AI and SaaS platform decisions.
At least 12 years of professional experience, including leadership in AI/ML architecture and enterprise-scale system delivery.
Experience designing and implementing multi-agent AI systems in production.
Strong background in AI/ML technical strategy, model safety, real-time data platforms, and SaaS architecture at scale.
Experience in cybersecurity, risk management, or security ratings, along with a record of integrity in professional settings.
Experience leading engineering teams or managing technical architects.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimachine learningml

Platform: ashby
Effort: quick