Senior AI Security Architect: Secure GenAI at Scale

Synopsys, Inc.; Morrisville (NC); On-site; USD 150,000 - 210,000; Full time

Job summary

Synopsys, Inc. seeks a Cybersecurity Architect - AI Security to define and secure AI-enabled systems across GenAI, ML, and LLM ecosystems. You will lead security architectures, threat modeling, and governance with cross-functional teams in a fast-paced, globally deployed environment.

The role focuses on secure model training, IAM for AI agents, and integration with NIST AI RMF, ISO 42001, and OWASP LLM Top 10. Austin or Morrisville locations offered.

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field.
• 10+ years of experience in Cybersecurity, Security Architecture, Cloud Security, or related disciplines.
• 3+ years of hands-on experience securing AI, Generative AI, LLMs, or ML systems in production environments.
• Strong familiarity with Kubernetes and container security, MLOps and ModelOps platforms, vector databases, and MCP.

Responsibilities

• Design enterprise AI security architecture patterns and reference architectures for GenAI, Agentic AI, ML, and LLM-based systems across cloud, SaaS, on-premises, and hybrid environments.
• Conduct AI threat modeling, architecture reviews, and security assessments for AI use cases, evaluating risks related to prompt injection, data poisoning, model theft, model inversion, membership inference, and agent abuse.
• Define security standards and implementation patterns for agentic AI platforms, orchestration frameworks, MCP ecosystems, LLM gateways, and autonomous workflows, including policy enforcement, monitoring, logging, and action controls.
• Establish controls for secure model training, fine-tuning, deployment, and monitoring, and drive AI red-team and adversarial testing strategies to validate defenses.
• Design and implement Agentic Identity and Access Management (IAM) strategy for AI agents, autonomous systems, MCP servers, and AI-enabled applications, including controls for service access, secrets protection, model registries, vector databases, RAG architectures, API security, and data classification.
• Led secure AI and model lifecycle initiatives by defining security controls, architectures, and guardrails for AI platforms, agents, and LLM integrations; implementing protections against AI-specific threats; and driving red-team testing and governance to ensure secure, resilient, and trustworthy AI systems.
• Partner with Product Security, Engineering, Cloud, IT, Legal, Privacy, Data Governance, and Enterprise Architecture teams to establish AI security policies, standards, and governance frameworks aligned with NIST AI RMF, ISO 42001, OWASP LLM Top 10, and emerging regulations.
• Research emerging AI threats and defensive technologies, evaluate and implement AI Security Posture Management (AI-SPM) tools, and design secure sandbox environments for rapid security evaluation of new AI models, solutions, and agents

Skills

Kubernetes security

Cloud security

AI security

Threat modeling

Education

Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field

Master's degree preferred

Tools

Vector databases

MCP (Model Context Protocol)

LLM platforms

IAM tooling

Kubernetes

Job description

Synopsys, Inc. seeks a Cybersecurity Architect - AI Security to define and secure AI-enabled systems across GenAI, ML, and LLM ecosystems. You will lead security architectures, threat modeling, and governance with cross-functional teams in a fast-paced, globally deployed environment.

The role focuses on secure model training, IAM for AI agents, and integration with NIST AI RMF, ISO 42001, and OWASP LLM Top 10. Austin or Morrisville locations offered.