Intern - Technology Consulting, AI & Cybersecurity (Offcycle Jan - Jun 2027)

EY; Singapore; On-site; SGD 22,000 - 33,000; Full time

Job summary

EY is seeking an AI & Cybersecurity Intern in Singapore to explore autonomous systems in security operations. You will design and build AI agents, implement RAG lifecycles, and translate user needs into autonomous workflows that interact with real-world systems.

You will collaborate with cybersecurity experts to optimize model choices, evaluate performance, and tailor LLMs for security tasks. This internship runs for at least 4 months (Dec 2026/Jan 2027 start) and offers hands-on experience in

Qualifications

• Interest in AI and cybersecurity with problem-solving mindset.
• Experience with scripting or automation languages is a plus.
• Familiarity with multi-agent systems and collaborative AI design is desirable.

Responsibilities

• Design and build AI agents with reasoning, planning, and decision-making.
• Implement Retrieval-Augmented Generation (RAG) pipelines for domain data.
• Create autonomous workflows that can think, plan, and act.

Skills

Multi-agent systems

Azure

MLOps

Docker

Kubernetes

CI/CD

Java

C

PowerShell

SQL

AI & Cybersecurity

Tools

Docker

Kubernetes

CI/CD

Job description

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

• 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.
• Due to high volume of applications, only shortlisted candidates will be contacted.
• Applicants must be able to commit a minimum of 4 months (full-time) from Dec 2026/Jan 2027.