GTM Engineering Intern – Customer Success, Agentic AI

Role Overview

• 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.
• 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.
• 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.

Requirements

• 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 on-site from June 1st
• August 17th in office (locations posted)

Tech Stack

• NoSQL
• Python
• React
• SQL

Benefits

• Work on real business challenges
• Contribute to projects that directly support Equinix’s global operations and technology platforms.
• Be supported throughout your journey
• Receive mentorship from your manager, UX subject matter experts, an assigned buddy, and a formal intern mentor.
• Participate in curated learning experiences
• Engage with senior leaders, participate in professional workshops, and build global connections.
• Gain global recognition
• Present your work through Equinix’s Global Ideas Competition (“Shark Tank”) to a worldwide audience.