Senior AI Security Development Engineer

Role Profile

This role is approximately 50% Security Engineering and Security Reviews and 50% Security Tooling, Automation, and Capability Development, acting as a forward-deployed security partner embedded with engineering teams while helping build the security capabilities that scale across the organization

Role & responsibilities

Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Cyber Security, Artificial Intelligence, or a related field.
• Minimum 7-10 years of experience in Security Engineering, Application Security, Product Security, Software Engineering, or DevSecOps roles.
• Minimum 3+ years of experience conducting security reviews, threat modeling, architecture assessments, or product security activities.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience securing modern applications, APIs, microservices, containers, and cloud-native solutions.
• Experience developing automation, integrations, internal tooling, or engineering utilities.
• Experience with source control, CI/CD, issue tracking, and Agile development practices.
• Financial services experience is a plus.

Preferred Qualifications

• Experience in AI Security, AI Governance, AI Risk Management, or AI Red Teaming.
• Experience with Developer Security Platforms, ASPM, GitHub Advanced Security, CodeQL, Container Security, or Cloud Security solutions.
• Experience building security integrations, workflow automations, developer enablement capabilities, or security operational tooling.
• Relevant certifications in AI Security, Cybersecurity, Cloud Security, Security Architecture, Secure Software Development, or related domains.