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Principal AI Architect

Role overview

Summary

This role focuses on shaping and overseeing enterprise AI solutions and technical strategy at a cybersecurity company. You will support scalable AI capabilities for enterprise customers, guiding the architecture and implementation of advanced AI systems.

Qualifications

  • 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.
  • Preferred: Background in cybersecurity, risk management, or security ratings.
  • Preferred: Leadership experience managing engineering teams or technical architects.

Responsibilities

  • Design and guide the architecture of enterprise-scale AI and machine learning systems.
  • Set technical strategy for large-scale systems serving enterprise customers.
  • Establish guardrails, safety mechanisms, and controls for AI models in production.
  • Lead engineering teams and provide direction to technical architects.

Key facts

Hard skills

Other skills

  • Leadership

About the company

Clera Inc. logo

Clera Inc.

  • Job Boards & Talent Marketplaces
  • 11–50
Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

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Job description

About the Role

A principal-level architecture role at a cybersecurity company, focused on shaping and overseeing enterprise AI solutions and technical strategy. The work supports scalable AI capabilities for enterprise customers.

What You'll Do

  • Design and guide the architecture of 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 provide direction to technical architects.

  • Guide SaaS platform architecture and scaling.

What We're Looking For

  • 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.

Compensation & Benefits

Annual base salary: $270,000 to $330,000. Visa sponsorship is not available.

Location

Hybrid role based in New York, New York.

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