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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Architect - **Company:** Cadence Design Systems, Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $164,500.0 - $305,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cyber Security, Data Governance, Information Leak Prevention, Data Security, IBM Cloud Computing, Identity and Access Management, Information Systems Security Architecture Professional, Key Management, Machine Learning, Software Product Management, Zero Trust Network Access, Security Information and Event Management, Systems Integration, Management of Software Versions, Google Cloud, Cloud Platform System, Delivery Pipeline, Large Language Models, Prompt Engineering, Software Security, AI Platforms, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Virtual Agents, Devsecops, Serverless Computing, Microservices - **Published:** May 17, 2026 - **Apply:** https://www.dice.com/job-detail/329d9c49-afc7-4ce1-b47d-363f8d6313ca ## About the Role * Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field * 8+ years in cybersecurity architecture or engineering * Experience securing AI/ML systems or data platforms * Strong understanding of: + Cloud security (IAM, network, containers, serverless) + API security and microservices + Encryption, key management, and identity systems + Development of Agent and Agentic AI for security use cases + Experience with MCP Preferred Qualifications * Experience with LLMs (e.g., prompt engineering, RAG architectures) * Familiarity with adversarial ML techniques * Knowledge of tools like: + MLflow, Kubeflow, SageMaker + SIEM/XDR platforms * Certifications: + CISSP, CCSP, or cloud security certifications * Experience in semiconductor industry is a plus, * AI Threat Modeling (Prompt Injection, Data Poisoning, Model Evasion) * Secure MLOps / DevSecOps * Zero Trust Architecture * Data Privacy & Governance * Cloud-Native Security * Risk & Compliance Management ## Description AI/ML Security Architecture * Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines * Define security controls for LLMs (Large Language Models), GenAI platforms, and AI APIs * Embed security into MLOps pipelines (DevSecOps for AI) Threat Modeling & Risk Management * Conduct threat modeling for AI systems (e.g., prompt injection, model poisoning, data leakage) * Develop risk frameworks aligned with NIST AI Risk Management Framework * Identify and mitigate adversarial AI threats and abuse cases Data Security & Privacy * Ensure protection of training and inference data (PII, PHI, proprietary data) * Implement data governance, anonymization, and encryption strategies * Ensure compliance with regulations (GDPR, HIPAA, etc.) Cloud & Platform Security * Secure AI workloads across cloud platforms such as + Amazon Web Service + Microsoft Azure + Google Cloud + IBM Cloud * Architect secure integrations with AI services and APIs Model Security & Integrity * Protect against model theft, inversion, and extraction attacks * Implement model monitoring for drift, anomalies, and abuse * Ensure secure model storage, versioning, and access control Governance & Compliance * Establish AI security policies, standards, and guardrails * Align with industry AI frameworks such as + ISO AI standards (e.g., ISO/IEC 42001) * Support audit, regulatory, and CIO and CISO reporting Collaboration & Leadership * Partner with data scientists, ML engineers, and product teams * Provide security guidance for AI product development * Lead security reviews and architecture boards * Mentor security engineers on AI-specific threats ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [The AI Security Survival Guide: Practical Advice for Stressed-Out Developers](https://www.wearedevelopers.com/videos/1015-the-ai-security-survival-guide-practical-advice-for-stressed-out-developers) - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 210: AI Agents Are Go! Is MCP Dead? LLMs Crack Anonymity](https://www.wearedevelopers.com/magazine/709-dev-digest-210-ai-agents-are-go-is-mcp-dead-llms-crack-anonymity) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)