Senior AI Security Engineer (R-19324)

Lead the design, development, and evolution of enterprise-grade security architectures for AI, GenAI, andML platforms, pipelines, and products

Define and drive security strategy, standards, and reference architectures for AI systems across the organization

Serve as a technical authority in AI security, advising engineering and leadership teams on secure design, threat mitigation, and risk acceptance decisions

Implement advanced security controls for LLM-based systems, agentic AI frameworks, and AI-driven APIs at scale

Lead complex threat modeling, red-teaming, and adversarial testing initiatives targeting AI systems, models, and data ecosystems

Establish and operationalize controls to mitigate AI-specific risks including prompt injection, data leakage, model exfiltration, model poisoning, and misuse scenarios

Drive security integration across the AI lifecycle, including model development, training, evaluation, deployment, and runtime operations

Define and implement secure identity, authentication, authorization, and trust models for human-to-AI and agent-to-agent interactions

Lead the design of secure AI data architectures, including data governance, lineage protection, and privacy-preserving mechanisms

Champion DevSecOps practices for AI platforms, embedding automated security testing, validation, and monitoring into CI/CD pipelines

Collaborate with platform, cloud, and infrastructure teams to ensure secure-by-default environments across multi-cloud ecosystems

Influence and contribute to enterprise security policies, governance frameworks, and regulatory compliance initiatives related to AI

Lead incident response and forensic analysis for AI-related security events and vulnerabilities

Mentor and coach engineers; provide technical leadership across programs and communities of practice

Drive cross-functional security initiatives, aligning stakeholders across engineering, product, legal, and risk domains

Stay at the forefront of emerging AI threats, technologies, and industry best practices, and translate insights into actionable improvements