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At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Are you ready to shape the future with confidence
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The Opportunity
Join our team as an AI & Cybersecurity Intern and help shape the future of autonomous systems in security operations. You'll work on cutting-edge projects that combine AI, automation, and cybersecurity to solve real-world challenges.
Your Key Responsibilities
- Design and Build AI Agents - Develop intelligent, multi-step AI agents capable of reasoning, planning, and decision-making using frameworks like LangChain, AutoGen, or CrewAI. Apply these to automate and accelerate tasks in security operations and penetration testing.
- Implement Retrieval-Augmented Generation (RAG) - Work on the full RAG lifecycle—from designing chunking and hybrid retrieval strategies for domain-specific data to integrating agentic patterns for better context-aware reasoning.
- Create Autonomous Workflows - Translate user needs into workflows that can think, plan, and act independently.
- Integrate Tools and Data Sources - Enable agents to interact with real-world systems by connecting APIs, databases, and external services for actionable insights.
- Experiment with Agentic Architectures - Implement advanced patterns like ReAct, Plan-and-Execute, and multi-agent collaboration to tackle complex problems.
- Optimize and Evaluate Performance - Define metrics, test reliability, and iterate on design, prompts, and model choices to improve outcomes.
- Customize LLMs - Fine-tune and adapt large language models for security-focused tasks. Build and refine RAG pipelines for delivering relevant, up-to-date context.
- Collaborate with Cybersecurity Experts - Work closely with consultants and leadership to identify automation opportunities and integrate AI solutions into core workflows.
- Stay Ahead of the Curve - Explore the latest advancements in agentic AI, LLMs, and autonomous systems—and champion innovative ideas within the team.
Skills And Attributes For Success
- Familiarity with multi-agent systems and collaborative AI design.
- Exposure to Azure and cloud platforms (certifications are a plus).
- Understanding of MLOps practices (Docker, Kubernetes, CI/CD).
- Experience with scripting or automation tools (Java, C, PowerShell) and SQL.
- Passion for AI and cybersecurity, with a creative mindset for solving problems.
Note
- You are required to upload your latest resume and academic transcripts together with your online application.
- Due to high volume of applications, only shortlisted candidates will be contacted.
- To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
- Applicants must be able to commit a minimum of 4 months (full-time) from Jul/Aug 2026.
