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Application Security AI Lead
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About the job
Principal Responsibilities
- Team Leadership: Manage and mentor a global team of 3-5 Application/AI Security engineers.
- AI Security Strategy: Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
- AI Risk Management: Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
- Security Consulting: Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
- Lifecycle Engagement: Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
- Program Development: Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
- Tooling & Architecture: Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
- Stakeholder Liaison: Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.
- Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
- 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role.
- Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
- Experience working with AI models, Agentic frameworks and security risks associated with AI.
- Experience in managing global teams, doing presentations to senior development managers and leadership.
- Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
- Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
- Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
- Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
- Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
- Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
- Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
- Familiarity with web application security testing tools and methodologies.
- Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
- Knowledge of Linux, OS internals and containers is a plus.
- Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.
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