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.
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.
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.
Base salary: $270,000 to $330,000 annually. Visa sponsorship is not available.
Hybrid role based in New York, New York.
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Lead hands-on technical delivery of an AI-assisted operations platform, taking it from discovery through integration, implementation and evaluation with maintainable rules, human approvals and traceable decisions.
Leads the strategy and hands-on delivery of applied AI workflows across business functions, turning ambiguous needs into reliable production capabilities while mentoring engineers and building reusable practices.
Lidera tecnicamente a construção, implantação e evolução de uma plataforma de Agentic SDLC, da arquitetura à produção, incluindo gateway de IA, infraestrutura AWS, segurança, observabilidade e adoção por equipes.
Design and scale AI-powered go-to-market workflows, integrations, and internal tools across sales, marketing, and Customer Success to improve efficiency, intelligence, customer experience, and cost to serve.
