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Principal AI Architect

Role overview

Qualifications

  • At least 12 years of professional experience in AI/ML architecture
  • Experience designing and implementing multi-agent AI systems in production
  • Strong background in AI/ML technical strategy and SaaS architecture
  • Experience in cybersecurity or risk management

Responsibilities

  • Set AI and machine learning architecture direction for large-scale systems
  • Design and deliver production-ready multi-agent AI architectures
  • Build guardrails and control systems for AI models in production
  • Lead engineering teams and provide technical direction to architects

Key facts

Hard skills

Other skills

  • Team Leadership

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

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.

Company details

IndustryStaffing & Recruiting
Company size11-50

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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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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