Senior AI Security Architect

NVIDIA NVIDIA · Semiconductors · Yokneam, Israel +2

NVIDIA is seeking a Senior AI Security Architect to define and evolve secure SDLC methodologies for AI products using AI-assisted and agentic development environments. The role involves designing frameworks for secure adoption of AI coding assistants and autonomous agents, architecting secure agentic development environments, and integrating AI-native workflows into the SDLC. The candidate will also define security guardrails and validation mechanisms for AI-assisted software development processes.

What you'd actually do

  1. Define and evolve secure SDLC methodologies for NVIDIA Networking AI products using AI-assisted and agentic development environments.
  2. Design frameworks and best practices for the secure adoption of AI coding assistants, autonomous agents, and AI-driven engineering workflows.
  3. Architect secure agentic development environments that improve developer productivity while maintaining strong security controls and governance.
  4. Partner with architecture, infrastructure, security, and R&D teams to integrate AI-native workflows into the software development lifecycle.
  5. Define security guardrails, validation mechanisms, and policy enforcement for AI-assisted software development processes.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • 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.

Other signals

  • AI-assisted engineering workflows
  • agentic development environments
  • secure AI products
  • AI-native workflows