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Popular AI title and metro location increase competition, tempered by niche AppSec/LLM requirements.
Role demands combined ML/GenAI and Application Security expertise, making background fit highly specific.
Explicit 7+ and 3+ year requirements plus mandatory AppSec and LLM tool expertise makes filtering strict.
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Build and assess AI-driven solutions to improve developer productivity and integrate security into software development lifecycle (SDLC).
Develop AI agents, copilots, and Retrieval-Augmented Generation (RAG) systems to automate engineering and security tasks.
Collaborate with Product Security and Engineering teams to embed security controls and advance secure DevSecOps practices using modern AI frameworks.
7+ years experience in software engineering, security engineering, or related roles.
3+ years experience developing AI, ML, or GenAI solutions in enterprise settings.
Strong programming skills in Python, Java, JavaScript/TypeScript, or Go; expertise with LLM platforms and AI agent frameworks.
Prior experience in Application Security, Product Security, DevSecOps, or Secure SDLC programs.
Technical expert able to design and implement AI-enhanced secure development workflows within complex enterprise environments.
Experienced in cross-functional collaboration across security, engineering, and platform teams to influence AI and security strategies.
Hands-on with cloud platforms (Azure, AWS, Google Cloud), AI model evaluation, and modern developer tooling integrations.