GTM AI Engineering Intern

G2•Chicago, IL

1d•Hybrid

About The Position

We're seeking a technical engineering intern to help build foundational infrastructure for our AI initiatives in our GTM Teams by creating a comprehensive inventory of AI assets and contributing to the development and deployment of AI agents across the organization. This role requires hands-on experience building AI solutions and the ability to bridge technical implementation with business impact. As a member of the team this summer, you’ll focus on: AI Asset Inventory & Documentation Conduct technical stakeholder interviews across the GTM teams to identify and catalog existing AI models, agents, and automation tools Document current use cases, architectures, input/output specifications, and business outcomes for each AI asset AI Agent Development & Deployment Build and deploy AI agents for high-priority use cases (e.g., customer re-engagement, account intelligence, review analysis) Design agent workflows, prompts, and decision logic for production use cases Implement integrations between AI agents and existing systems (CRMs, data platforms, communication tools) Test, iterate, and optimize agent performance based on business outcomes Establish deployment patterns and best practices for scaling agents across teams Use Case Analysis & Technical Recommendations Analyze patterns across documented use cases to identify opportunities for consolidation or expansion Evaluate technical feasibility and architecture requirements for new AI applications Assess which assets could be standardized and shared across teams Knowledge Sharing Develop technical documentation and presentation materials summarizing findings Create a centralized knowledge base for AI assets, agents, and implementation patterns Present insights and demos to leadership and cross-functional teams Contribute to strategic planning for AI architecture and governance

Requirements

A rising Junior or Senior at an accredited college or university pursing a degree in Computer Science, Software Engineering, AI/ML, or related field
Hands-on experience building and deploying AI agents or automation workflows
Strong programming skills (Python preferred) with experience using APIs and SDKs
Familiarity with LLM platforms (OpenAI, Anthropic, etc.) and prompt engineering
Experience with workflow automation tools and orchestration frameworks
Strong written and verbal communication skills for technical and non-technical audiences
Ability to translate technical capabilities into business value
Self-starter comfortable with ambiguous, exploratory projects

Responsibilities

Conduct technical stakeholder interviews across the GTM teams to identify and catalog existing AI models, agents, and automation tools
Document current use cases, architectures, input/output specifications, and business outcomes for each AI asset
Build and deploy AI agents for high-priority use cases (e.g., customer re-engagement, account intelligence, review analysis)
Design agent workflows, prompts, and decision logic for production use cases
Implement integrations between AI agents and existing systems (CRMs, data platforms, communication tools)
Test, iterate, and optimize agent performance based on business outcomes
Establish deployment patterns and best practices for scaling agents across teams
Analyze patterns across documented use cases to identify opportunities for consolidation or expansion
Evaluate technical feasibility and architecture requirements for new AI applications
Assess which assets could be standardized and shared across teams
Develop technical documentation and presentation materials summarizing findings
Create a centralized knowledge base for AI assets, agents, and implementation patterns
Present insights and demos to leadership and cross-functional teams
Contribute to strategic planning for AI architecture and governance