Senior AI Architect - Enterprise Security (Hybrid NYC)

Aimlroles

New York (NY)

Hybrid

USD 270,000 - 330,000

Full time

7 days ago
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Job summary

Aimlroles is seeking a senior principal AI/ML architect to shape the AI strategy for enterprise security products. You will own the design and direction of AI systems that serve large customers, sitting at the intersection of cutting-edge AI architecture and real-world security applications.

In this hybrid New York City role, you will design and deliver multi-agent AI architectures, build safety guardrails, modernize data pipelines, and mentor engineering teams to advance platform capabilities.

Qualifications

  • 10 to 12+ years of AI/ML architecture or equivalent leadership experience.
  • Proven track record delivering enterprise-scale AI systems in production.
  • Hands-on experience designing multi-agent AI architectures at scale.
  • Experience building AI safety mechanisms and model controls.
  • Background in SaaS platform architecture for enterprise customers.

Responsibilities

  • Design and oversee enterprise-scale AI and ML systems, setting direction.
  • Architect and deliver multi-agent AI systems in production.
  • Lead AI/ML architecture decisions and long-term strategy.
  • Build guardrails and control systems for safe production AI.
  • Architect real-time data pipelines and drive platform modernization.
  • Lead and mentor engineering teams and technical architects.

Skills

AI/ML architecture
Enterprise-scale systems
Multi-agent AI
AI safety/guardrails
SaaS platform architecture
Cybersecurity domain knowledge
Leadership/mentoring

Job description

Aimlroles is seeking a senior principal AI/ML architect to shape the AI strategy for enterprise security products. You will own the design and direction of AI systems that serve large customers, sitting at the intersection of cutting-edge AI architecture and real-world security applications.

In this hybrid New York City role, you will design and deliver multi-agent AI architectures, build safety guardrails, modernize data pipelines, and mentor engineering teams to advance platform capabilities.

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