GTM Engineering Intern, Equinix

• Currently pursuing a BS or MS in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field in their penultimate year of study(graduating between December 2026-May 2027)
• Strong proficiency in Python and experience with AI orchestration frameworks (e.g., LangChain, Semantic Kernel, or AutoGen)
• Demonstrated understanding of Agentic AI concepts, including tool-augmented generation, autonomous planning, and multi-agent collaboration
• Experience working with RESTful APIs and modern data structures (JSON, SQL, NoSQL)
• Available to work onsight from June 1st- August 17th in office (locations posted)

Desirable

• 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
• The GTM Engineering Intern will occupy a specialized technical role dedicated to bridging the gap between Customer Success strategy and autonomous execution
• This position focuses on the design and deployment of Agentic AI—systems capable of reasoning, utilizing tools, and executing multi-step workflows with minimal human intervention
• You will be responsible for moving the organization beyond simple chatbots toward "Autonomous Success Agents" that drive renewals and expansions and operational scale through sophisticated automation and the Microsoft Copilot ecosystem
• 1. Agentic AI & Autonomous System Development
• Agentic Development: Design and implement multi-agent systems using Microsoft Copilot Studio and Microsoft Power Automate that can autonomously research customer health, reason through complex account signals, and initiate corrective actions
• Tool-Use & Function Calling: Develop and configure "skills" or "plugins" that allow AI agents to interact directly with internal APIs, databases, and GTM tools (e.g., Clay, Salesforce, Slack) to perform tasks such as updating account plans or triggering renewal sequences
• Reasoning Loops: Build and refine agentic reasoning loops (e.g., Chain-of-Thought or ReAct patterns) to ensure AI-driven automations provide high-accuracy outputs in complex, non-linear Customer Success scenarios
• 2. Workflow Engineering & Orchestration
• End-to-End Automation: Identify manual bottlenecks in the customer lifecycle and architect end-to-end automated solutions that integrate disparate data sources (Product, CRM, Support) into a unified execution layer
• Data Grounding: Ensure all agentic workflows are grounded in "live" customer data, utilizing Retrieval-Augmented Generation (RAG) and data orchestration platforms like Clay to maintain context and relevance
• System Resilience: Implement monitoring and "Human-in-the-loop" (HITL) checkpoints to ensure autonomous agents operate within defined guardrails and align with brand sentiment
• 3. Commercial Impact & Strategy
• Revenue Engineering: Align automation projects with commercial outcomes, specifically focusing on increasing CSM "books of business" capacity and identifying expansion opportunities through automated intent signals
• Strategic Prototyping: Rapidly prototype customer-facing agents that can autonomously assist in technical onboarding or product adoption milestones, reducing the time-to-value for the end-user

• Please submit the following:
• An up-to-date resume that includes:
• Internship availability (start and end dates)
• Expected graduation date