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Metro location and popular AI role balanced by seniority and niche AppSec specialization.
ML/AI skills transferable, but AppSec and enterprise healthcare context increases domain-specific fit requirements.
Explicit 7+ years, 3+ years AI experience and mandatory AppSec and LLM tool requirements.
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Own design and development of AI-powered solutions improving end-to-end developer workflows and productivity, including AI agents and copilots for automation within product security.
Serve as Application Security SME embedding security controls and practices into AI-driven software development and developer workflows, addressing risks from AI-generated code.
Collaborate cross-functionally to deploy production-grade AI applications and influence enterprise AI strategy for secure software development.
7+ years in software engineering, security engineering or related fields.
3+ years experience developing AI/ML/GenAI solutions in enterprise environments.
Strong programming skills in Python, Java, JavaScript/TypeScript, or Go.
Prior experience in Application Security, Product Security, DevSecOps, or Secure SDLC programs.
Experienced in integrating AI technologies (LLMs, AI agents, RAG) with secure software development practices.
Proficient in collaborating with multiple technical teams (Engineering, DevOps, Security) to build scalable, cloud-native AI solutions.
Strong background in Application Security frameworks and tools, capable of addressing security risks in AI-enabled development workflows.