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.
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.
Fortinet Sunnyvale, California, USA Office
899 Kifer Road, Sunnyvale, CA, United States, 94086
Similar Jobs
Information Technology • Database • Consulting
Hands-on AI internship supporting agentic AI solutions, prototypes, and analytics for insurance and healthcare. Collaborate with AI engineers and business leaders to define AI workflows, build metrics, analyze operational data, craft business cases, and support GenAI/LLM experimentation and productization.
Top Skills:
Agentic AiAWSAzureClaudeDatabasesGCPGenaiLlmsOpenaiPythonSQL
Industrial • Manufacturing
Perform hands-on AI research and engineering: build LLM-driven applications, agents, retrieval systems, and automation; analyze large operational datasets; create predictive and anomaly-detection models; develop dashboards and company-wide AI assistants; partner with stakeholders and document/train teammates to adopt AI tools.
Top Skills:
APIsChatgptClaudeGeminiNotion Ai
Automotive
Research and implement methods to transfer human-object interaction data into robotic dexterous manipulation policies. Build large-scale data pipelines, generative embodied-AI models, unified cross-embodiment training, and sim-to-real deployment; validate on real multi-fingered or humanoid hardware and produce a technical manuscript or demo.
Top Skills:
Force/Torque SensingGenerative ModelsImitation LearningIsaac SimJaxMujocoProprioceptionPybulletPythonPyTorchReinforcement LearningRosRos2Tactile SensingTensorFlowTransformer Architectures
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
