Senior AI Security Architect
Posted 26 days ago · 0 applicants
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The role in plain words
This role involves designing and deploying secure software development lifecycle methodologies powered by AI agents and intelligent automation. You will architect secure agentic development environments, define security guardrails for AI-assisted coding, and collaborate with R&D teams to integrate these AI-native workflows into the engineering process. Additionally, you will mentor other engineers and lead initiatives to modernize secure engineering practices across the organization.
- Academic degree in Computer Science, Electrical Engineering, Cybersecurity, or related field. Equivalent experience will also be considered.
- 5+ years of experience in security engineering, application security, or security architecture.
- Strong understanding of modern SDLC processes, developer workflows, and secure software engineering practices.
- Hands-on experience designing, building, or operating agentic development environments or AI-assisted engineering platforms.
- Experience securing AI applications and integrating AI tools into enterprise development workflows.
- Experience building AI-native developer platforms or internal engineering productivity systems.
- Experience managing or influencing large R&D organizations and engineering transformation initiatives.
- Familiarity with cloud-native security, Kubernetes, and large-scale distributed systems.
- Experience designing governance frameworks for enterprise AI adoption.
- Demonstrated thought leadership through publications, conference talks, or open-source contributions related to AI security or developer tooling.
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Who this suits
This role suits experienced security architects or engineers with five or more years of experience who have hands-on experience with agentic development environments, AI coding assistants, and secure SDLC processes. It is less ideal for those without a background in securing AI applications or those who lack experience driving engineering process changes in large-scale organizations.
Full job description
Original listing · kept for referenceNVIDIA Networking Product Security team is seeking an outstanding technical AI Security Architect with hands-on experience in secure software development lifecycle (SDLC) practices, AI-assisted engineering workflows, and agentic development environments. In this role, you will help define and transform how NVIDIA Networking teams build secure AI products by designing and deploying next-generation development methodologies powered by AI agents and intelligent automation. You will drive the integration of secure agentic development environments into the SDLC, enabling developers and security teams to build, validate, and secure AI products more efficiently and at scale. The ideal candidate combines deep security expertise with practical software development experience and a strong understanding of how AI-assisted development environments can reshape modern engineering practices.
What You’ll Be Doing
• Define and evolve secure SDLC methodologies for NVIDIA Networking AI products using AI-assisted and agentic development environments.
• Design frameworks and best practices for the secure adoption of AI coding assistants, autonomous agents, and AI-driven engineering workflows.
• Architect secure agentic development environments that improve developer productivity while maintaining strong security controls and governance.
• Partner with architecture, infrastructure, security, and R&D teams to integrate AI-native workflows into the software development lifecycle.
• Define security guardrails, validation mechanisms, and policy enforcement for AI-assisted software development processes.
• Design and recommend security architectures and controls to satisfy internal and external security requirements.
• Lead initiatives that modernize secure engineering practices across large-scale development organizations.
• Mentor developers, architects, and security engineers on secure AI development methodologies and best practices.
What We Need To See
• Academic degree in Computer Science, Electrical Engineering, Cybersecurity, or related field. Equivalent experience will also be considered.
• 5+ years of experience in security engineering, application security, or security architecture.
• Strong understanding of modern SDLC processes, developer workflows, and secure software engineering practices.
• Hands-on experience designing, building, or operating agentic development environments or AI-assisted engineering platforms.
• Experience securing AI applications and integrating AI tools into enterprise development workflows.
• Familiarity with AI coding assistants, autonomous agents, LLM frameworks, and orchestration systems.
• Experience defining security policies and governance for AI-enabled development environments.
• Ability to drive significant organizational and engineering process changes across large-scale teams.
• Ability to work independently and collaboratively in a constantly evolving environment.
• Excellent communication and interpersonal skills.
Ways To Stand Out From The Crowd
• Experience building AI-native developer platforms or internal engineering productivity systems.
• Experience managing or influencing large R&D organizations and engineering transformation initiatives.
• Familiarity with cloud-native security, Kubernetes, and large-scale distributed systems.
• Experience designing governance frameworks for enterprise AI adoption.
• Demonstrated thought leadership through publications, conference talks, or open-source contributions related to AI security or developer tooling.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Academic degree in Computer Science, Electrical Engineering, Cybersecurity, or related field. Equivalent experience will also be considered., 5+ years of experience in security engineering, application security, or security architecture., Strong understanding of modern SDLC processes, developer workflows, and secure software engineering practices., Hands-on experience designing, building, or operating agentic development environments or AI-assisted engineering platforms., Experience securing AI applications and integrating AI tools into enterprise development workflows.