Principal Software AI Engineer (R-20013)
Defines technical direction and leads architecture and delivery of enterprise AI/ML and generative AI systems, setting engineering standards and guiding secure, scalable production solutions on Google Cloud.
Join a cybersecurity-focused SaaS organization as a Principal AI Architect. You will shape enterprise AI strategy and architecture, helping deliver secure, scalable systems for enterprise customers.
Design and guide the delivery of enterprise-scale AI and machine learning systems.
Define architecture and technical strategy for production multi-agent and agentic AI systems.
Establish guardrails, safety mechanisms, and control systems for production AI models.
Architect real-time data pipelines and platform modernization initiatives.
Lead engineering teams and provide direction to technical architects.
Guide the evolution and scaling of SaaS platform architecture.
At least 12 years of professional experience, including leadership in AI/ML architecture or related roles.
Experience building and delivering enterprise-scale AI systems and production agentic architectures.
A track record leading architecture decisions and technical strategy for large-scale systems serving enterprise customers.
Experience designing AI safety controls, real-time data pipelines, or platform modernization initiatives.
Background in cybersecurity, risk management, or security ratings, along with SaaS platform scaling experience.
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.
Defines technical direction and leads architecture and delivery of enterprise AI/ML and generative AI systems, setting engineering standards and guiding secure, scalable production solutions on Google Cloud.
Shape enterprise agentic AI strategy and architecture, advise C-suite clients, and lead complex programmes from pursuit through production delivery, while establishing governance patterns and growing technical capability.
Shape enterprise agentic AI strategy and architecture, advise C-suite clients, and lead complex programmes from pursuit through production delivery while establishing safe, reusable engineering practices and growing team capability.
Shape enterprise agentic AI strategy and architecture, advise C-suite clients, and lead complex programmes from pursuit through production delivery, with a focus on secure, compliant systems for regulated industries.
Shape enterprise agentic AI strategy and architecture, advise C-suite clients, and lead complex programmes from pursuit through production delivery while building reusable engineering and governance practices.