
10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
🕒 May 11
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10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
• Architect secure agent‑based AI systems including multi‑agent orchestration and RAG pipelines • Design and deploy agentic workflows using LangChain, LangGraph, AutoGen and MCP • Build autonomous reasoning, planning and tool‑using AI agents • Integrate LLMs with enterprise systems via secure APIs • Lead development of enterprise agentic AI platforms and reusable frameworks • Establish MLOps, observability, CI/CD and agent lifecycle governance • Apply AI and analytics to cybersecurity data from SIEM, IAM and SOAR platforms
• 9+ years experience in software engineering, AI/ML or data science • 6+ years hands-on experience building agentic AI or multi-agent systems • Strong Python skills and experience with LLM APIs, RAG and vector databases • Experience with cybersecurity domains such as IAM, SIEM, SOAR • Cloud experience with GCP, Azure or AWS
• future-focused skills development • global exposure • inclusive culture • opportunities to work on cutting-edge AI and cybersecurity initiatives
Apply Now🕒 May 1
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