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.

Academic degree in Computer Science, Electrical Engineering, Cybersecurity, or related field
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.

Senior AI Security Architect

Key skills