AI Intern

Fortinet; Sunnyvale (CA); On-site; USD 55,104 - 82,656; Full time

Job summary

Fortinet in Sunnyvale, California is seeking an AI Intern to support teams in AI workflow development and participate in operational projects. This role involves creating and testing AI-powered automations, monitoring performance using AI-driven tools, and analyzing large datasets for machine learning models.

The ideal candidate is pursuing a degree in a relevant field and has programming skills alongside a proactive approach. The position offers a dynamic work environment with opportunities for learning and networking.

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.
• Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data.
• Documentation and process improvement: Mapping existing workflows and documenting new AI processes.
• Performance evaluation: Testing prototypes for accuracy and tracking operational KPIs.

Skills

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

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)

Job description

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 lunchandlearn 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

• 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 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.