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Strong employer brand and metro location increase competition, but niche AI-security specialization limits the candidate pool.
Combined AI engineering and offensive application security expertise makes the role highly industry- and skill-specific.
Explicit 8+ years plus mandatory GenAI, offensive AppSec, and cloud/container expertise drives high filtering.
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Lead security assessments and red teaming for AI systems including GenAI applications, LLM integrations, AI agents, and AI-powered platforms.
Build and embed AI-powered security automation and secure development practices into SDLC, DevSecOps, and testing pipelines.
Oversee offensive security validation, threat modeling, and mentoring in AI security across engineering and cybersecurity teams.
8+ years of experience in software engineering, AI engineering, cybersecurity engineering, or application security.
Strong hands-on experience with GenAI, LLMs, AI agents, and related AI application architectures.
Proficiency in programming languages such as Python, Java, Go, JavaScript/TypeScript, or C# and practical knowledge of penetration testing and application security tools (e.g., Burp Suite, OWASP ZAP, Metasploit).
Experience securing AI workloads on cloud platforms (Azure, AWS, GCP) and knowledge of container, secrets, and identity security.
Engineer with AI-first mindset capable of building, testing, and securing AI systems and frameworks.
Experienced developer skilled in creating scalable security tools, automation, and secure engineering patterns.
Practically skilled in application security and offensive security techniques with ability to validate vulnerabilities and guide remediation efforts.