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Specialized GenAI and AppSec senior role reduces general applicant density despite hybrid work.
Skills in LLMs, AppSec, and cloud are transferable but security focus adds moderate domain specificity.
Explicit 7+ years, 3+ years GenAI, and required AppSec and LLM tech create highly selective filters.
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Own design and development of AI-driven solutions to enhance developer workflows and productivity, integrating tools like GitHub, Jira, Azure DevOps, and IDEs.
Lead application security integration in AI-enabled development, embedding security controls, defining secure code generation methods, and mitigating risks related to LLMs and AI agents.
Collaborate cross-functionally with Product Security, Engineering, and DevOps teams to influence secure software development lifecycle and enterprise AI strategy.
7+ years of experience in software engineering, security engineering, or related field.
3+ years developing AI, ML, or Generative AI solutions in enterprise environments.
Strong programming skills in Python, Java, JavaScript/TypeScript, or Go, with experience in AI platforms (Azure OpenAI, OpenAI, Anthropic).
Prior experience in Application Security, Product Security, DevSecOps, or Secure SDLC programs.
Technically adept at integrating AI technologies (LLMs, AI agents, RAG) into secure software development workflows.
Experienced in application security best practices and tools to embed secure coding directly into developer processes.
Strategic collaborator able to influence AI and security initiatives across multiple engineering and security teams in complex enterprise environments.