Fortinet

AI Intern

Reposted 2 Months Ago

Sunnyvale, CA, USA

In-Office

40-60 Hourly

Internship

Security • Software • Cybersecurity

The Role

Support teams building AI workflows, automations, and agents; implement monitoring and anomaly detection; analyze and prepare operational data for model training; document workflows and update playbooks; test prototypes, evaluate performance, investigate issues, and track operational KPIs. Participate in learning, networking, and project showcases.

Summary Generated by Built In

The AI Intern will support teams with a primary focus on organization, AI workflow development: Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunch‑and‑learn sessions with internal stakeholders, participate in networking activities, and contribute to project showcases that highlight your work.

Key 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.

Required Technical Skills

Technical Skills: Basic scripting or programming proficiency (Python, JavaScript, Go).
AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
Soft Skills: Strong problem-solving, attention to detail, proactive "builder" mindset, and the ability to collaborate with cross-functional teams.

Education:

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).

Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this position are expected to be $40 - $60/hr. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.

Skills Required

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 ability to collaborate with cross-functional teams.
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).

Fortinet Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortinet and has not been reviewed or approved by Fortinet.

Healthcare Strength — Healthcare offerings appear comprehensive, including medical, dental, vision, counseling, wellness programs, and HSA/FSA options. Some materials also highlight affordability and multiple plan choices.
Leave & Time Off Breadth — Time off is described as strong, with PTO and reports of flexible or even unlimited PTO depending on team or manager. These options contribute to a perception of good flexibility.
Parental & Family Support — Support includes maternity and paternity leave alongside childcare/parenting resources and adoption/surrogacy assistance. This indicates robust family-oriented benefits.