Senior Product Security Engineer – AI & Application Security
About the Role
A high-impact security engineering initiative is seeking an experienced professional to help advance AI-native security capabilities across modern software and machine learning environments. This role focuses on building intelligent security systems that integrate directly into development workflows, enabling scalable protection, automated risk management, and continuous security validation.
This opportunity is ideal for individuals with deep expertise in application security and software engineering who are passionate about leveraging AI to solve complex security challenges. Candidates should be comfortable operating across security, infrastructure, cloud platforms, and AI systems while driving technical innovation in rapidly evolving environments.
The work involves designing autonomous security controls, securing AI-powered applications, improving developer security workflows, and developing scalable remediation mechanisms. Success in this role depends on combining strong engineering capabilities with strategic security thinking and a practical understanding of emerging AI threats.
What You'll Do
- Architect and develop AI-driven security systems for vulnerability detection, triage, and remediation
- Build autonomous security workflows utilizing large language models and machine learning techniques
- Integrate intelligent security controls and validation mechanisms into CI/CD pipelines
- Lead threat modeling exercises across distributed applications, cloud platforms, AI systems, and data architectures
- Design security frameworks addressing prompt injection, model abuse, adversarial attacks, data poisoning, and sensitive data exposure risks
- Develop behavioral analytics and risk-scoring models to identify fraud, account compromise, and malicious activity
- Implement automation strategies to prioritize security findings and reduce operational overhead
- Evaluate and enhance application, infrastructure, API, and cloud security controls
- Collaborate with engineering, platform, and AI teams to embed security throughout the development lifecycle
- Drive secure development practices through technical leadership, mentorship, and enablement initiatives
- Contribute to the evolution of AI security standards, controls, and operational frameworks
Requirements
- 8+ years of experience in Product Security, Application Security, Security Engineering, Software Engineering, or related technical domains
- Strong background in secure software development and security architecture
- Demonstrated experience building or implementing AI-powered security solutions
- Hands-on experience with application security tooling and automated security workflows
- Deep understanding of cloud-native architectures, APIs, microservices, and distributed systems
- Advanced programming proficiency in Python
- Proficiency in at least one additional programming language such as Go, Java, Rust, or Node.js
- Experience integrating security platforms into development and deployment pipelines
- Strong knowledge of OWASP Top 10 security risks and secure application development practices
- Familiarity with OWASP Top 10 for LLM Applications and emerging AI threat models
- Experience with threat modeling, vulnerability management, and risk assessment methodologies
- Ability to design scalable automation solutions for security operations
- Strong analytical, problem-solving, and communication skills
- Experience collaborating across engineering, infrastructure, and research teams
- Ability to translate technical security risks into business-focused recommendations
- Experience securing AI products, model-serving infrastructure, or machine learning platforms preferred
- Background in machine learning, security analytics, fraud detection, or behavioral modeling preferred
- Experience contributing to open-source security projects or security research preferred
- Familiarity with AI red teaming, model evaluation, agent security, AI safety engineering, or autonomous penetration testing preferred
- Experience within high-growth technology, research-driven, or AI-focused environments preferred