Principal AI Architect

Clera

• $270K — $330K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in AI/ML systems architecture or enterprise SaaS
  • Proven track record in designing large-scale ML/AI infrastructure
  • In-depth knowledge of the cybersecurity landscape
  • Experience in leading technical strategy across organizations
  • Familiarity with AI governance and responsible AI principles
  • Strong foundation in computer science and distributed SaaS platforms

Responsibilities

  • Design and oversee AI architecture strategies for cybersecurity
  • Provide technical leadership for AI and ML initiatives
  • Define AI governance and compliance frameworks
  • Collaborate with stakeholders to translate business needs into system designs
  • Establish best practices for ML infrastructure and system reliability

Benefits

  • Hybrid work model based in Manhattan, NY
  • Opportunities for professional development
  • Influence on AI governance and cybersecurity practices
  • Access to cutting-edge technology in a rapidly evolving field
  • Involvement in shaping the company's AI strategy
Full Job Description
About the Role

This is a senior, principal-level architecture role at a well-established cybersecurity SaaS company, focused on shaping AI strategy and designing large-scale AI solutions across the organization. Sitting at the intersection of security and machine learning, this position carries significant influence over how AI is built, governed, and deployed at enterprise scale. The work directly supports the company's mission to help organizations manage and reduce cyber risk.
What You'll Do
  • Design and oversee end-to-end AI architecture strategies aligned with enterprise cybersecurity objectives.
  • Provide technical leadership and direction across AI and ML initiatives, guiding cross-functional teams toward scalable, production-grade systems.
  • Evaluate and define AI governance, safety, and compliance frameworks appropriate for a security-focused product environment.
  • Partner with engineering, product, and research stakeholders to translate business requirements into robust AI system designs.
  • Establish best practices for large-scale ML infrastructure, model deployment, and ongoing system reliability.
What We're Looking For
  • 12 or more years of experience spanning AI/ML systems architecture, enterprise SaaS, or related domains.
  • Demonstrated background designing and delivering large-scale ML or AI infrastructure in production environments.
  • Strong understanding of the cybersecurity landscape, including risk, compliance, or threat intelligence domains.
  • Experience leading technical strategy and influencing across engineering and product organizations, not just individual contribution.
  • Familiarity with AI governance, safety, and responsible AI principles in enterprise or regulated contexts.
  • Solid computer science fundamentals and a history of working within complex, distributed SaaS platforms.
Compensation & Benefits

The base salary range for this role is $270,000 to $330,000 USD annually. Visa sponsorship is not available for this position.
Location

This is a hybrid role based in Manhattan, New York. Candidates should be able to commute to the New York City office on a regular basis.

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