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.
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Affordable Benefits — Medical coverage includes a no-premium HDHP option with HSA funding alongside PPO/HMO choices, reducing employee costs at enrollment. Eligibility starts on the date of hire and includes company-paid life and disability coverage.
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Wellbeing & Lifestyle Benefits — Mental-health access through Modern Health and an EAP offers therapy, coaching, and counseling resources. Lifestyle extras such as legal assistance, commuter benefits, pet-insurance discounts, and subsidized meals and snacks enhance everyday support.
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Strong & Reliable Incentives — Compensation packages include annual bonuses, sales commissions, and stock awards. Earnings potential can be strong in sales when quotas are realistic and attainment is high.
Fortinet Insights
What We Do
Fortinet develops and sells cybersecurity solutions.
