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CloudflareCloudflareUnited States

Professional Services Intern

Intern role supporting Cloudflare's Professional Services team by designing and deploying AI-driven prototypes (LLMs, RAG) to automate project workflows, resource planning, and forecasting. Requires current enrollment in a Bachelor's or Master's program with AI focus; full-time 12-week Fall internship.

Salary not listed
On-siteEntry levelML Engineering

About the role

Responsibilities

  • Design, develop, and deploy AI-driven prototypes (using LLMs, RAG architectures, or predictive modeling) to automate manual workflows within the Professional Services Project and Resourcing ecosystem.
  • Build out models to help automate future forecasting and resource planning.
  • Partner with engineering teams to identify, clean, and structure high-volume post-sales data for model training and fine-tuning to enable faster resourcing capabilities.
  • Refine and optimize system prompts and model parameters to ensure high-quality, hallucination-free outputs for internal advisory tools.
  • Act as the technical translator, taking high-level optimization ideas from GCS leadership and turning them into technical requirements and minimum viable products (MVPs).
  • Contribute to internal knowledge bases and documentation to improve team efficiency and consistency. Create collateral to enable the team.
  • Help document and control project workflows and deployment steps for internal teams and customers with the PMO and Resourcing functions.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Business, Project Management or a related technical field with an element of AI.
  • Available for a full-time, 12-week internship, working from our London office 3-5 days a week during the fall (Sept-Dec).
  • Proficiency in verbal, written, and visual communication.
  • Ability to work seamlessly with diverse teams (e.g., developers, designers, and managers).
  • Proactive problem-solving: identify bottlenecks, analyse root causes, and propose practical solutions.
  • Ability to pivot gracefully when project scopes change.
  • Anticipate team needs and offer support proactively.
  • Leverage networking opportunities to learn from mentors.

Skills

LLMsRAGPredictive ModelingPythonData CleaningPrompt EngineeringAi PrototypingResource ForecastingDocumentationProject Management

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