NVIDIA

Technology

SeniorAISecurityArchitect

$550–850k ~AI est. Yokneam, Israel FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Security Architect at NVIDIA. Skills: AI Security, Secure SDLC, Agentic Development, AI Engineering. Define secure SDLC methodologies. Evolve secure SDLC methodologies”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5+ years experience security engineering, 5+ years experience application security, 5+ years experience security architecture, Understanding modern SDLC processes, Understanding developer workflows, Understanding secure software engineering practices, Hands-on experience agentic development environments, Hands-on experience AI-assisted engineering platforms, Experience securing AI applications, Experience integrating AI tools, Experience defining security policies, Experience defining governance, Ability drive organizational changes, Ability drive engineering process changes, Ability work independently, Ability work collaboratively

Nice to Have

Experience building AI-native developer platforms, Experience building internal engineering productivity systems, Experience managing R&D organizations, Experience influencing R&D organizations, Experience managing engineering transformation initiatives, Experience influencing engineering transformation initiatives, Familiarity cloud-native security, Familiarity Kubernetes, Familiarity large-scale distributed systems, Experience designing governance frameworks, Demonstrated thought leadership, Publications AI security, Conference talks AI security, Open-source contributions AI security, Publications developer tooling, Conference talks developer tooling, Open-source contributions developer tooling

What You'll Do.

Define secure SDLC methodologies

Evolve secure SDLC methodologies

Design frameworks AI adoption

Design best practices AI adoption

Architect secure agentic environments

Improve developer productivity

Maintain security controls

Partner integrate AI-native workflows

Define security guardrails

Define validation mechanisms

Define policy enforcement

Design security architectures

Recommend security architectures

Design security controls

Recommend security controls

Lead initiatives modernize practices

Mentor security engineers

How You'll Work.

Team & Collaboration

Architecture teams; Infrastructure teams; Security teams; R&D teams

Communication Scope

Communication skills

Process & Methodology

Engineering transformation

Full Job Description

NVIDIA 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 Compu

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