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Clera

Principal AI Architect

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Fully RemoteData & AIleadUnited States

Salary

$270k–$330k

Posted

38m ago

Work setup

Fully Remote

Principal AI ArchitectChief AI ArchitectPrincipal AI Solutions ArchitectPrincipal Data and AI ArchitectPrincipal Machine Learning Architect

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.

Compensation Range: $270K - $330K

Salary in context

This role's top-end salary ($330k) sits in the upper band for remote Data & AI roles at lead level — typical comparable roles on RemoteTide top out around $166k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

Apply on the original posting. No account required.

Listing via Himalayas

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