AI Tech Analyst Intern

About the position Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely! This position is 100% remote anywhere in the US. Overview: Precisely’s Summer Internship Program is a paid, part-time opportunity for undergraduate students actively enrolled in university. This is an 10-week program that begins Monday June 8, 2026 and ends Friday August 14, 2026. This opportunity is 100% remote and you must be located in the United States during the summer internship. The AI Tech Analyst Intern will work closely with the Global Services team. The intern will work at the intersection of AI and enterprise data governance. We build software that helps organizations set up and run data governance programs. You will contribute production code used by real clients. We work with large language models, REST APIs, and modern web frameworks. You will support two active projects that automate work typically done manually by consultants.

Responsibilities

• Create market analysis and industry benchmarking on AI tools and practices
• Design and build features for AI-powered data governance applications.
• Integrate large language model APIs into existing workflows.
• Consume and orchestrate REST APIs from enterprise SaaS platforms.
• Contribute across the full stack, including frontend, backend, and database layers.
• Extend existing AI workflows into autonomous, agent-driven systems.
• Work with SQL databases and ORMs.
• Collaborate with senior consultants with regular technical guidance.
• Support two parallel projects and manage context switching.

Requirements

• Degree in Computer Science, AI & ML, or Data Science with an AI major
• Hands-on coding ability. You can write working TypeScript or JavaScript without handholding. You've built something — a side project, a class project, a contribution to open source — that you can show us and talk about.
• API integration experience. You've consumed REST APIs before. You understand HTTP methods, headers, authentication, JSON payloads, and error responses. You've used tools like Postman, curl, or written fetch/axios calls.
• Database fundamentals. You can write SQL, understand schemas and relationships, and have worked with at least one ORM or database client.
• Self-starter mentality. Given a goal and access to documentation, you figure things out. You try things, read error messages, search for answers, and iterate. You don't wait to be told what to do next.
• Clear communication. You can explain what you're working on, what's blocking you, and what you need.

Nice-to-haves

• Experience with SvelteKit or any modern component framework (React, Vue, Angular)
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.) or prompt engineering
• Experience with data modeling for BI/reporting tools
• Experience with building agents with MS copilot and Gamma
• Understanding of data governance, data quality, or metadata management concepts
• Experience with migration or ETL tooling

Benefits

• Valuable experience related to the degree you are pursuing.
• Hands on experience at an established tech company.
• Networking opportunities with company leaders around the globe.

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