Product Security Engineer

Responsibilities

• Architect and build AI-powered security systems that autonomously identify, triage, and remediate vulnerabilities across applications, infrastructure, and AI workloads.
• Develop agentic security workflows that leverage LLMs and machine learning for code review, threat detection, vulnerability correlation, root-cause analysis, and automated fix generation.
• Reimagine the Secure Software Development Lifecycle (SSDLC) by integrating intelligent security controls, AI guardrails, and continuous validation into CI/CD pipelines.
• Lead threat modeling initiatives for distributed systems, AI platforms, RAG architectures, model-serving infrastructure, data pipelines, and autonomous agents.
• Design security frameworks for protecting AI systems against emerging threats including prompt injection, model abuse, data poisoning, adversarial attacks, and sensitive data leakage.
• Build behavioral detection models and risk engines to identify synthetic identities, document fraud, account takeover attempts, and other adversarial activity within customer onboarding and KYC workflows.
• Apply machine learning and contextual risk scoring to reduce alert fatigue, prioritize security findings, and drive autonomous remediation decisions.
• Partner closely with engineering, platform, and AI research teams to ensure security is embedded as a native capability rather than a downstream function.
• Scale a culture of security engineering through mentorship, technical leadership, and enablement programs focused on secure AI development practices.

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