Enterprise Artificial Intelligence Intern, Equinix
Office located in Redwood City
Digital infrastructure company
Open for applications
Digital infrastructure company
1001+ employees
Open for applications
Office located in Redwood City
1001+ employees
Company mission
To provide finance, manufacturing, transport, government, and healthcare organizations a cloud-first world.
Role
Who you are
- AI/ML Foundations: Strong understanding of LLMs (GPT-4, Claude, Llama 3), Prompt Engineering, and Agentic Frameworks (e.g., LangChain, AutoGen, or CrewAI)
- Programming: Proficiency in Python and experience with API integration (REST, GraphQL)
- Data Skills: Familiarity with Google BigQuery, Snowflake, Amazon Redshift) and SQL for querying customer databases
- Problem Solving: The ability to take a vague business problem (e.g., "Why are customers in EMEA struggling with onboarding?") and build a technical agent to solve it
- Currently pursuing a BS or MS in Computer Science, AI, Data Science, or a related field
- Must be currently enrolled in an accredited university/college, in your penultimate year of your bachelor's or master’s degree studies (Graduation between December 2026 -September 2027)
- An interest in the intersection of Data Center Providers and Artificial Intelligence throughout the Go-To-Market lens
- Available to work full-time during the summer internship period (June–August) in one of our Northern California, Dallas, or DC office locations
- Strong written and verbal communication skills
- Collaborative, detail-oriented, and eager to learn in a fast-paced environment
What the job involves
- Equinix is looking for a visionary AI Engineering Intern to join our Enterprise AI Team
- This is not a "shadowing" internship; you will be the primary developer of an Agentic AIs designed to revolutionize how we support our global customers
- You will focus on moving beyond simple chatbots to create Autonomous Agents that can navigate Equinix’s internal tools, interpret complex customer data, and execute workflows that drive proactive intelligence
- Build Agentic Workflows: Design and deploy AI agents capable of multi-step reasoning, tool-use (function calling), and autonomous problem-solving for our workflows
- Bridge the Ecosystem: Enhance our existing Agentic Platforms like Google ADK, Vertex AI
- End-to-End Development: Own the full lifecycle, from data ingestion and prompt engineering to RAG (Retrieval-Augmented Generation) implementation and production deployment, and user enablement and adoption
- Drive Insight & Intelligence: Develop agents that proactively identify churn risks, summarize complex support tickets, and suggest "next-best-actions" for Customer Success Managers (CSMs)
- Legacy Modernization: Evaluate existing CS processes and transform them into intelligent, LLM-powered processes
Our take
Equinix is a veteran player in the digital infrastructure market, connecting industry-leading organizations in finance, manufacturing, retail, transportation, government, healthcare, and education.
The company provides a range of services within the categories of digital, support, data center, and interconnection, with capabilities including, for example, simplifying hybrid cloud deployments or securing on-site deployments. It has an extensive range of partners, granting its clients access to a vast range of industry-leading technologies atop its own offerings.
With a wide global presence, Equinix has secured a path to continued success by its ability to keep abreast of developments in the space. The company is comfortably positioned to remain a robust and leading player across multiple growth avenues and can be expected to make more smart developments and partnerships in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Company HQ
Redwood Shores, Redwood City, CA
Leadership
Adaire Fox-Martin
(CEO & President)Prior to becoming CEO of Equinix in 2024, Adaire spent nearly 3 years at Google in various roles, including Head of Google Ireland and President of Google Cloud Go to Market. She also spent nearly 14 years at SAP and over 18 years at Oracle Corporation.
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