Sustainability Intern

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

Equinix is seeking a Sustainability Intern focused on AI for Sustainability within the Sustainability Program Office. This intern will support Equinix’s efforts to explore and pilot AI‑driven solutions that advance our climate and environmental, social and governance (ESG) ambitions. Reporting to the Director of Sustainability Technology, the intern will work cross‑functionally with internal teams and external partners to research industry practices, develop prototype AI tools, and create an enablement roadmap that helps teams leverage AI to accelerate sustainability outcomes. Candidates should bring curiosity, foundational experience with AI or data analysis, and an interest in applying emerging technology to climate and ESG challenges. The role combines applied research, prototyping and cross‑functional evaluation across ESG reporting and sustainability enablement workflows.

Responsibilities

• Conduct targeted industry research on AI for sustainability, including how companies use AI to reduce emissions, improve ESG reporting, or enhance sustainability performance.

• Synthesize research findings into clear insights, opportunities, and best practices for Equinix.

• Assist with designing and prototyping an AI agent to support ESG reporting and monitoring.

• Identify use cases where AI can support sustainability enablement and operational workflows.

• Develop a recommended roadmap outlining AI‑assisted training modules, adoption pathways, and implementation considerations.

• Collaborate with internal stakeholders to understand needs and evaluate early functionality.

• Integrate responsible AI and data governance considerations into workflows.

• Support documentation, testing, and iteration of AI tools and internal sustainability workflows.

• Communicate key activities, progress, and learnings to stakeholders through written updates and presentations.

Qualifications

• Currently pursuing a degree in sustainability, business, environmental science, data science, computer science, engineering, public policy, economics, or a related field.

• Foundational understanding of AI/ML concepts, large language models, or data analysis methods.

• Interest in ESG, corporate sustainability, or climate solutions.

• Strong analytical, research, and problem‑solving skills.

• Ability to translate complex information into concise insights suitable for varied audiences.

• Strong written and verbal communication skills.

• Ability to work independently, manage deadlines, and collaborate across teams.

• Attention to detail when evaluating model outputs, workflows or data quality.

• Interest in responsible AI, governance or data ethics is beneficial.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form .

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here .