Senior Staff Architect - AI Product Security

Summary

Join ServiceNow's AI Security team as a Senior Staff Architect to lead the architecture safeguarding ServiceNow’s GenAI initiatives. Partner with security researchers, AI specialists, and software engineers to translate cutting-edge research into production-ready solutions. Serve as the key liaison between AI Security and Product & Infrastructure architecture, ensuring roadmap alignment and integration. Lead engineering execution while promoting secure, scalable design. Design and build secure systems for LLMs and advanced ML technologies. Mentor and lead engineers, fostering knowledge sharing and professional growth.

Requirements

• 10+ years of industry experience, including expertise and hands-on software development in Java
• Proven record architecting large-scale, distributed systems in cloud and Kubernetes environments
• Deep knowledge of microservices / service-oriented architectures and modern DevOps practices
• Excellent written and verbal communication skills—able to influence and align diverse stakeholders
• Ability to own and derisk multiple high-impact projects spanning several teams
• Comfort using Generative AI tools to boost productivity
• Strong organizational, leadership, and presentation abilities
• BS/MS in Computer Science, Engineering, or a related discipline

Responsibilities

• Design and build clean, reusable, and scalable systems that secure LLMs, generative AI, and other advanced ML technologies
• Translate research into reality by collaborating daily with security researchers and AI experts, guiding engineers to implement their vision
• Interface with Product & Platform Architects to embed security-by-design into new features and existing workflows, and to align roadmaps in both directions
• Shape new products and features while continuously improving our existing tool suite
• Set engineering best practices (code reviews, testing, CI/CD) and drive technical excellence
• Mentor and lead engineers, fostering knowledge sharing and professional growth across the team

Preferred Qualifications

• Python
• Experience working with LLMs, MCP, A2A, multi-agent systems
• Experience building security or AI-security products
• Exposure to AI systems, data science, or data-engineering pipelines