# AI Security Architect Source: https://realanalystjobs.com/job/ai-security-architect-cadence-design-systems-a54c74f3 AI Security Architect at Cadence Design Systems, an on-site role based in San Jose, California, USA. Pay stated in the posting: $164,500 to $305,500. Posted on 13 November 2026, read from Cadence Design Systems' own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Cadence Design Systems has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Cadence Design Systems](https://realanalystjobs.com/companies/cadence-design-systems) - Location: San Jose, California, USA - Work mode: On-site - Pay stated in the posting: $164,500 to $305,500 - Posted: Nov 13, 2026 - Employment type: Full time - Source: Cadence Design Systems' careers page (Workday), re-checked daily Skills: Azure ## Visa sponsorship The posting does not say. Cadence Design Systems had H-1B petitions approved for 333 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/cadence-design-systems#h1b-record) ## About this role At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) security to design, implement, and govern secure AI systems across the enterprise. This role will focus on protecting AI/ML models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation. Key Responsibilities 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 Required Qualifications • 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 Key Skills • AI Threat Modeling (Prompt Injection, Data Poisoning, Model Evasion) • Secure MLOps / DevSecOps • Zero Trust Architecture • Data Privacy & Governance • Cloud-Native Security • Risk & Compliance Management The annual salary range for California is $164,500 to $305,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We’re doing work that matters. Help us solve what others can’t. Description from Cadence Design Systems' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/ai-security-architect-cadence-design-systems-a54c74f3) and use Apply now there to reach the employer's application. The listing is re-checked against Cadence Design Systems' careers page daily and removed when it closes. ## Cadence Design Systems 2 open analyst roles on Real Analyst Jobs. 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