AI Solutions Intern

Location: Hybrid (Local to NYC)

Position Summary:

The AI Solutions Intern is a developmental, entry-level role designed to prepare the intern for the AI Solutions Analyst role. Working under the close guidance of experienced team members, the intern supports business discovery, workflow analysis, requirements documentation, testing, implementation, and adoption of AI-enabled solutions. The intern gains hands-on experience building and evaluating solutions using AI agents, agentic coding harnesses, Copilot, automation, and approved enterprise tools across low-, medium-, and high-complexity use cases. The role also contributes to the company's AI-native transformation by helping identify opportunities to reuse and scale solutions, and by supporting research, documentation, demonstrations, training materials, and value measurement. Work is performed according to established procedures, with assignments reviewed for accuracy and quality.

Key Responsibilities

• Business Discovery and Analysis: Supports business discovery sessions with stakeholders to understand current processes, pain points, and opportunities for AI-enabled improvement; assists with mapping workflows and documenting current- and future-state processes.
• Requirements Documentation: Helps gather, organize, and document business and functional requirements, user stories, and acceptance criteria under the direction of senior team members.
• Solution Building and Evaluation: Gains hands-on experience building, configuring, and evaluating solutions using AI agents, agentic coding harnesses, Microsoft Copilot, automation platforms, and other approved enterprise tools.
• Use Case Support: Contributes to low-, medium-, and high-complexity use cases by completing assigned tasks, conducting analysis, and supporting delivery under the guidance of experienced team members.
• Testing and Implementation: Assists with test planning, test case execution, defect tracking, and validation of solution outputs for accuracy, quality, and responsible AI use; supports implementation and deployment activities.
• Adoption and Enablement: Supports user adoption by helping develop training materials, user guides, quick-reference documents, and solution demonstrations.
• Reuse and Scalability: Helps identify how individual solutions can be reused across teams, scaled across the company, or developed into client-facing capabilities; documents reusable components, patterns, and lessons learned.
• Research and Innovation: Researches emerging AI tools, techniques, and industry practices and summarizes findings to inform team recommendations.
• Value Measurement: Assists with tracking and reporting solution outcomes, including time savings, efficiency gains, adoption metrics, and other measures of business value.
• Collaboration and Development: Partners with AI Solutions Analysts and cross-functional stakeholders to build foundational skills in solution analysis, delivery, and change management in preparation for progression to the AI Solutions Analyst role.
• Compliance and Governance: Follows company policies, data privacy and security standards, and responsible AI guidelines when using AI tools and handling enterprise data.

Education Requirements

• Currently enrolled in an accredited bachelor's or master's degree program in Engineering (e.g., Computer, Software, Electrical, Industrial, or Systems Engineering) or a closely related technical field such as Computer Science or Data Science.
• Relevant coursework in artificial intelligence, machine learning, software development, data analysis, or automation preferred.

Experience Requirements

• No prior professional experience required.
• Demonstrated interest in AI, software, data, or automation, supported by hands-on academic, personal, hackathon, research, or project experience.
• Exposure to AI tools and technologies such as large language models, AI agents, Microsoft Copilot, prompt engineering, or automation platforms (e.g., Power Automate) preferred.
• Familiarity with at least one programming or scripting language (e.g., Python, JavaScript, SQL) preferred.
• Strong analytical and problem-solving skills, with the ability to break down business processes and identify improvement opportunities.
• Effective written and verbal communication skills, including the ability to document requirements and explain technical concepts to non-technical audiences.
• Proficiency with Microsoft Office 365 applications (Word, Excel, PowerPoint, Teams).
• Curiosity, eagerness to learn, and the ability to work both independently and collaboratively in a fast-paced environment.