AI Security Architect

We are seeking a highly motivated Cybersecurity Architect - AI Security to help define, architect, and secure the next generation of AI-enabled systems, platforms, and services across Synopsys.

You will shape how a global technology leader secures AI at scale, across products, platforms, and operations that power the semiconductor industry.

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

Requirements

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field, Master's degree preferred
• 10+ years of experience in Cybersecurity, Security Architecture, Cloud Security, or related disciplines with a track record of building and securing complex systems
• 3+ years of hands-on experience securing AI, Generative AI, LLMs, or ML systems in production environments, not just research or proof-of-concept work
• Deep technical knowledge of AI and ML security, LLM architectures, Agentic AI systems, RAG pipelines, AI model lifecycle security, AI governance frameworks, cloud security architectures, IAM, API security, data security and privacy, secure software development lifecycle, and security monitoring and incident response
• Experience conducting threat modeling, architectural risk assessments, and security design reviews for AI systems, with the ability to identify and mitigate risks like prompt injection, data poisoning, model theft, and agent abuse
• Demonstrated experience working with executive stakeholders and cross-functional teams to drive security strategy, present risk and mitigation recommendations, and influence decision-making at the highest levels
• Strong familiarity with Kubernetes and container security, MLOps and ModelOps platforms, AI orchestration frameworks, vector databases, and the Model Context Protocol (MCP), as well as leading AI ecosystems including Anthropic, OpenAI, NVIDIA AI, Azure OpenAI, AWS Bedrock, and Google Vertex AI.

Benefits

• Comprehensive range of health, wellness, and financial benefits
• Annual bonus, equity, and other discretionary bonuses
• Competitive total rewards package