You do not wait for frameworks to mature before you act. You read OWASP LLM Top 10, NIST AI RMF, and ISO 42001, then you go build the thing that actually works in your environment. Prompt injection, data poisoning, model theft, these are not buzzwords to you, they are threat vectors you have modeled, tested, and mitigated in real deployments.
You are comfortable walking into a room of GenAI engineers talking about RAG pipelines and vector databases and walking out with a security architecture that does not kill the project but does protect the company. You push back when a design is too open, and you find a way forward when the answer is not obvious. You think in layers, controls, guardrails, and you know that the best security architecture is one that developers can actually use.
At Synopsys, you will shape how a global technology leader secures AI at scale, across products, platforms, and operations that power the semiconductor industry.
What You'll Be Doing
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
The Impact You Will Have
Shape the enterprise AI security strategy and architecture that enables Synopsys to adopt AI securely, responsibly, and at scale across a global organization
Reduce risk to intellectual property, customer data, AI models, and critical business processes through practical security guardrails and resilient design patterns that protect what matters most
Accelerate secure innovation by providing clear, reusable standards for AI, GenAI, Agentic AI, ML, and LLM solutions that engineering and product teams can implement without friction
Strengthen enterprise readiness for emerging AI threats through threat modeling, adversarial testing, continuous monitoring, and effective detection and response capabilities that adapt as the threat landscape evolves
Influence executive and cross-functional decisions by translating complex AI security risks into actionable architecture recommendations and mitigation priorities that leadership can act on
Advance a consistent, security-by-design culture across product, engineering, cloud, IT, legal, privacy, data governance, and enterprise architecture teams, embedding security into AI workflows from the start
Protect Synopsys customers and partners by securing AI-enabled products and services that power semiconductor design and innovation worldwide
What You'll Need
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.
CISSP, CCSP, SABSA, TOGAF, or equivalent certifications, GenAI security-related certifications are a strong plus
Who You Are
You can explain a complex AI security tradeoff to a VP in two sentences without losing the nuance, and then turn around and whiteboard the technical architecture with an AI engineer
You do not wait for perfect information or fully mature frameworks, you work with what you have, ask the right questions, build what is needed, and iterate as the landscape evolves
You push back when a design is too open or a risk is being underestimated, and you do it in a way that moves the conversation forward rather than shutting it down
You are organized enough to manage multiple AI security initiatives at once, from architecture reviews to policy development to vendor evaluations, without losing track of what matters most
You stay current on emerging AI threats, attack techniques, and defensive technologies, not because it is required but because you are genuinely curious about how these systems break and how to make them more resilient
You have worked in semiconductor, software, SaaS, or technology industries where intellectual property protection and customer trust are non-negotiable, and you understand what is at stake when AI security fails
The Team You'll Be Part Of
You will join the Cybersecurity Architecture & Engineering team, a highly skilled group of security professionals focused on protecting the company's intellectual property, sensitive information, and critical business systems. The team is responsible for advancing enterprise security strategies, implementing industry-leading security technologies, and enabling secure collaboration across a global workforce.
Collaboration, innovation, and a shared commitment to excellence define the team's culture. Your expertise will directly contribute to strengthening Synopsys' AI Security and supporting the company's leadership in secure technology solutions.
You will help shape the future of AI security at one of the world's leading technology companies, with the opportunity to influence enterprise-wide AI strategy, secure emerging technologies, and enable responsible innovation at global scale while protecting Synopsys, its customers, and its intellectual property.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
