обновлено 6 часов назад
AI Security Architect
164 500 - 305 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Security Architect (AI/ML Security): Designing and governing secure AI/ML architectures across model training, inference, deployment pipelines, GenAI platforms, and cloud workloads with an accent on threat modeling, data protection, and AI governance. Focus on mitigating prompt injection, model poisoning, data leakage, model theft, and adversarial AI threats while securing MLOps, agentic AI, APIs, and model integrity.
Location: San Jose, California, United States
Annual salary: $164,500–$305,500, with potential bonus, equity, and benefits.
Company
is building enterprise security capabilities for AI/ML systems, GenAI applications, data platforms, and cloud workloads.
What you will do
- Design secure architectures for AI/ML training, inference, deployment, LLM, GenAI, and AI API environments.
- Embed security controls into MLOps and DevSecOps pipelines across AWS, Azure, Google Cloud, and IBM Cloud.
- Conduct threat modeling for prompt injection, model poisoning, data leakage, model theft, inversion, extraction, evasion, and other adversarial AI threats.
- Protect training and inference data through governance, anonymization, encryption, privacy controls, and regulatory compliance.
- Establish AI security policies, standards, guardrails, monitoring, and risk frameworks aligned with NIST and ISO AI standards.
- Partner with data scientists, ML engineers, and product teams, lead security reviews and architecture boards, and mentor security engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field.
- 8+ years of experience in cybersecurity architecture or engineering.
- Experience securing AI/ML systems or data platforms.
- Strong knowledge of cloud security, IAM, networking, containers, serverless, API security, microservices, encryption, key management, and identity systems.
- Experience developing Agent and Agentic AI for security use cases and experience with MCP.
Nice to have
- Experience with LLMs, prompt engineering, and RAG architectures.
- Familiarity with adversarial ML techniques, MLflow, Kubeflow, SageMaker, and SIEM/XDR platforms.
- CISSP, CCSP, or cloud security certifications.
- Semiconductor industry experience.
Culture & Benefits
- Opportunity to work on AI security systems addressing emerging technology threats.
- Paid vacation and paid holidays.
- 401(k) plan with employer match.
- Employee stock purchase plan.
- Medical, dental, and vision plan options.
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