Principal AI Architect
At a glance
Senior AI Engineering role at Clera. Remote, United States · full-time · $270,000–$330,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Set the technical blueprint for AI and machine learning systems serving enterprise customers at scale
- Create and launch production multi-agent systems, including architectures that use agentic AI
- Put safety barriers and operational controls around models running in production
- Shape real-time data pipelines and modernize the platform, while directing architects and engineering teams
- Use cybersecurity and risk expertise to guide AI and SaaS platform choices
What you bring
- At least twelve years of professional experience, including AI/ML architecture leadership and delivery of enterprise-scale systems
- You have designed and deployed multi-agent AI systems in production
- Strong grounding in AI/ML strategy, model safety, real-time data platforms and large-scale SaaS architecture
- Background in cybersecurity, risk management or security ratings, plus experience leading engineers or technical architects
Who this fits
This role suits a senior AI architect who has led engineering teams and can set technical direction. It is hybrid and based in New York; visa sponsorship is unavailable.
From the employer
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.