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Cisco CX Security United States, Georgia, Atlanta 563974932
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The application window is expected to close on: August 28th, 2025.
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your Impact
As a senior member of the Security Assurance team, you’ll be a trusted security resource driving the secure design, deployment, and operation of customer-facing applications, systems, and AI-enabled services. This role requires deep technical expertise in AI/ML, cloud security, and secure software development, alongside practical knowledge of enterprise compliance, threat modeling, and the ongoing and constantly evolving AI threat landscape.
- Serve as the technical authority for AI/ML security assurance, collaborating with engineering, product, and architecture teams to ensure secure, compliant delivery of systems and services.
- Define, implement, and maintain security standards for GenAI, ML pipelines, data usage, and AI applications across hybrid and cloud environments.
- Conduct threat modeling, adversarial risk assessments, and AI-specific threat surface analysis on LLMs, data pipelines, and orchestration frameworks.
- Drive secure-by-design practices throughout the AI development lifecycle, embedding security gates and validations.
- Lead AI-specific security testing, including red teaming, prompt injection defenses, RAG hardening, model sandboxing, and privacy-preserving techniques.
Minimum Requirements
- +8 years of hands-on experience in cybersecurity and GenAI security, including demonstrated work with prompt injection mitigation, adversarial robustness, and implementing AI governance controls.
- At least 5 years of experience working with AI ecosystem stacks (such as TensorFlow, PyTorch, or LangChain), including securing AI/ML training pipelines and deployment workflows in production environments.
- Proficiency in Python, with a minimum of 3 years using Jupyter and proven experience in securing REST APIs and microservices in enterprise-scale applications.
- Expert at cloud security architectures across AWS, Azure, orGCP, and AI PaaS offerings like AWS Bedrock or Google Vertex AI.
- Minimum 3 years of experience conducting automated threat modeling and red teaming activities specifically for AI/ML systems.
Preferred
- Familiarity with compliance frameworks (e.g., NIST, GDPR) and their implications for AI data handling.
- Knowledge of AI supply chain risks, synthetic data verification, and secure model provenance.
- Background in AI-specific security middleware, firewalls, or policy layers for model-based systems.
- Published work, patents, or thought leadership in AI security or trustworthy AI.
- Participation in AI/ML security working groups or standards bodies (e.g., OWASP AI, NIST, IEEE).
- Experience in regulated industries (e.g., healthcare, finance) with mature software assurance programs.
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