AI Intern: Build and Automate AI Workflows

Fortinet; Sunnyvale (CA); On-site; USD 114,616,000 - 171,924,000; Full time

Job summary

Fortinet in Sunnyvale, CA seeks an AI Intern to support teams in organizing and developing AI-powered automations and agents, with hands-on projects, lunch-and-learn sessions, and networking opportunities.

You will contribute to AI workflow development, monitoring, data preparation, documentation, and performance evaluation while collaborating with cross-functional teams during real-world deployments.

Qualifications

• Basic scripting or programming proficiency (Python, JavaScript, Go).
• Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
• Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
• Strong problem-solving, attention to detail, proactive builder mindset, and cross-functional collaboration.

Responsibilities

• AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
• Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
• Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
• Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
• Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.

Skills

Python

JavaScript

Go

Prompt engineering

LLMs

Machine learning basics

Education

Pursuing degree in Computer Science/Data Science/AI/IT

Experience with AI projects (personal/academic/Kaggle)

Tools

Observability tools

Cloud platforms

Automation platforms

Job description

Fortinet in Sunnyvale, CA seeks an AI Intern to support teams in organizing and developing AI-powered automations and agents, with hands-on projects, lunch-and-learn sessions, and networking opportunities.

You will contribute to AI workflow development, monitoring, data preparation, documentation, and performance evaluation while collaborating with cross-functional teams during real-world deployments.