AI & Cybersecurity Intern - Technology Consulting

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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:

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