EY GDS-Staff-AppSec-AI-Automation-Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy AI-driven automation workflows using LLMs and agent frameworks focused on application security, offensive security, and enterprise workflows.
Integrate AI-powered solutions into enterprise pipelines including CI/CD and cloud environments with focus on measurable automation outcomes.
Collaborate with architects and client stakeholders to implement secure, scalable AI-enabled solutions leveraging generative AI tools and DevSecOps practices.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field.
2-4 years of experience in software engineering, automation, or AI-driven solution delivery.
Proficiency in Python programming and hands-on experience with generative AI tools (e.g., OpenAI Codex, GitHub Copilot).
Exposure to one or more Cybersecurity domains: Application Security (including SAST/DAST, DevSecOps) or Offensive Security (VAPT, red teaming).
Ideal Candidate Profile
Experienced in developing AI automation solutions with strong software engineering fundamentals and secure coding practices.
Familiarity with AI frameworks like LangChain, Semantic Kernel, and RAG pipelines, and cloud platforms preferably Azure.
Comfortable working in fast-paced, consulting environments collaborating with global and cross-functional teams to deliver enterprise-grade AI automation solutions.