Sr. Security Engineer, Application Security

Writer Writer · AI Frontier · New York, NY · Engineering, product & design

This role focuses on application security engineering for an enterprise AI platform, specifically securing AI systems, LLM architectures, training data pipelines, and AI agents. The engineer will build security foundations, conduct threat modeling, implement automated security controls, and lead security assessments. The role involves partnering with engineering teams to embed security into the AI development lifecycle and staying ahead of emerging threats in the AI/ML security landscape.

What you'd actually do

  1. Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the fact
  2. Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production
  3. Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default
  4. Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers..
  5. Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products

Skills

Required

  • Minimum 4 years of hands-on experience in application security engineering
  • Understanding of developer experience and developer workflows
  • Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript)
  • Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices
  • Excellent communication skills
  • A builder's mindset that looks for opportunities to automate, scale, and empower

Nice to have

  • worked in fast-growing startups or high-growth environments
  • understanding of business logic and security implications
  • know which tools to use and when automation beats manual review
  • explain why something matters and motivate teams to action
  • understand that security enables the business, not blocks it

What the JD emphasized

  • securing AI systems
  • protecting training data pipelines
  • designing controls for systems that didn't exist a few years ago
  • securing AI agents
  • protecting training data pipelines
  • designing controls for customer-facing AI agents
  • emerging threats in the AI/ML security landscape
  • attack vectors specific to LLMs and generative AI
  • novel risks

Other signals

  • securing AI systems
  • protecting training data pipelines
  • designing controls for AI agents
  • securing LLM architectures
  • AI/ML security landscape