AI Workflow & Data Ops Intern (Sunnyvale)

Fortinet, Inc.; Sunnyvale (CA); On-site; USD 55,000 - 83,000; Part time

Job summary

Fortinet, Inc. is seeking an AI Intern to join our Sunnyvale office. The role focuses on building AI-powered automations and agents, analyzing data, and improving workflows within an on-site setting in fall 2026 or early 2027.

You will contribute to infrastructure monitoring, KPI tracking, and cross-functional collaboration while gaining hands-on experience with real-world AI projects in a fast-paced security tech environment.

Qualifications

• Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
• Prior experience with AI projects (personal, academic, or Kaggle competitions).

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

Observability tools

Cloud platforms

Automation platforms

Collaboration

Education

Pursuing CS degree

Pursuing DS/AI degree

Tools

Observability tools

Cloud platforms

Automation platforms

Job description

Fortinet, Inc. is seeking an AI Intern to join our Sunnyvale office. The role focuses on building AI-powered automations and agents, analyzing data, and improving workflows within an on-site setting in fall 2026 or early 2027.

You will contribute to infrastructure monitoring, KPI tracking, and cross-functional collaboration while gaining hands-on experience with real-world AI projects in a fast-paced security tech environment.