Staff Software Engineer, Tech Lead, AI Security

Summary

Join ServiceNow’s AI Security team as a Staff Technical Lead to provide technical leadership and strategic direction in developing specialized tools and services for securing ServiceNow’s advanced Agentic AI systems. You will collaborate with architects, security researchers, and software engineers. Lead the design and implementation of backend tools, APIs, and services focused on Agentic AI security and safety. Translate cutting-edge security research into scalable software solutions. Establish and promote engineering best practices. Mentor and guide engineers. Own critical technical initiatives from planning to deployment. Shape and deliver next-generation security solutions, ensuring our AI remains secure and robust.

Requirements

• 7+ years of enterprise-level platform development experience
• Demonstrated leadership experience in guiding technical teams, driving complex projects, and building/deploying scalable software systems
• Expert-level proficiency in Java, with deep knowledge of algorithms, data structures, software design principles, and performance optimisation
• Strong experience with RESTful API design, microservices architecture, and database technologies (SQL/NoSQL)
• Proven capability in building and maintaining secure backend systems and services with a strong emphasis on security best practices
• Experience using AI Coding tools such as Cursor and Windsurf

Responsibilities

• Lead the design and implementation for backend tools, APIs, and services specifically focused on Agentic AI security and safety
• Drive the translation of cutting-edge security research into scalable, production-grade software solutions, ensuring alignment with overall AI Security architecture
• Collaborate with AI security researchers, architects, and stakeholders to identify requirements, develop roadmaps, and deliver impactful AI security products and features
• Establish and promote engineering best practices (code reviews, unit testing, CI/CD pipelines, secure coding standards) across the team
• Mentor and guide engineers, fostering technical excellence and professional growth within the AI Security team
• Own critical technical initiatives from planning to deployment, continuously refining and improving existing tools and services

Preferred Qualifications

• Significant experience developing security or AI security products, including familiarity with AI/ML model security, adversarial threats, and vulnerability assessment
• Experience integrating AI/ML technologies and APIs into backend systems at scale
• Hands-on expertise with cloud environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Proficiency in machine learning engineering (MLE) practices, including model deployment, monitoring, feature engineering, and optimisation, using tools such as MLflow, SageMaker, or Vertex AI