AI Engineering Intern-38031
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Job Summary
Life at Harvard
Are you ready to be part of something Extraordinary Look no further than Harvard is the largest family-owned provider of premier commercial janitorial and professional security services in the United States. We believe in the power of our people. Here every team member is valued empowered and trained to contribute their best. We foster an inclusive workplace culture where diversity is celebrated and every voice matters.
A day in the life:
Harvard Maintenance is investing in data and AI to modernize how we deliver service across our national operations. Our AI Team is building the analytics workflows and tools that help our operators supervisors and back-office teams work smarter from how operational performance is measured and reported to how we surface insights from our work order and financial data to how we use AI to accelerate the analytics we deliver to the business and to our clients.
We are looking for an AI Engineering Intern to join the team and work directly with the AI Solutions Architect on real initiatives that touch the business. This is a hands-on data-centric internship: you will write Python scripts work with operational and financial data build dashboards and analytical models and learn how AI is applied to accelerate analytics work in an enterprise environment.
What youll do as an Exceptional Team Member
What You Will Work On
Your projects will be drawn from our active data and AI roadmap and matched to your skills. Expect to spend the majority of your time on data and analytics work with meaningful exposure to AI engineering on top of that foundation:
- Operational data analytics Work hands-on with our operational data (work orders labor schedules financials) to answer real business questions. Build queries transformations and analyses that go directly to operations leaders and finance partners.
- Dashboards and reporting Design and build dashboards and recurring reports in Power BI. Translate stakeholder requirements into clear well-modeled performant visualizations.
- Data modeling and pipelines Help shape how we structure operational and financial data for analytics. Contribute to data models transformations and lightweight pipelines that feed reporting and AI use cases.
- AI-augmented analytics Build LLM-driven workflows that accelerate analytics work: automated data summaries natural-language querying of operational data document understanding (contracts specs inspection reports) and assistants that help internal teams self-serve information.
- Agentic workflows and AI tooling Learn alongside the team how to use modern AI engineering tools (Claude Code Codex MCP-based integrations) to ship analytical work and prototypes faster and more reliably.
- Deployment and integration Help take analytical prototypes from concept to a deployed internal service or scheduled job: basic CI/CD APIs and integration with existing platforms.
- Data governance and security Learn how analytics and AI get built responsibly inside a corporate environment: secure handling of operational and financial data access controls and alignment with our security and compliance requirements.
What You Will Get
- Direct mentorship from the AI Solutions Architect with real ownership of analytical work that touches the business.
- Exposure to how data and AI are adopted inside a large established services company not a hypothetical exercise but a real transformation in motion.
- Hands-on training in modern analytics and AI engineering practices: SQL Python dashboarding agentic coding evaluation and production deployment.
- Competitive paid internship.
- Strong consideration for a full-time analyst data engineering or AI engineering role for high-performing interns.
What youll need to be an Extraordinary Team Member
What We Are Looking For
You are a current undergraduate or graduate student pursuing one of the following (or a closely related field):
- Data Analytics
- Data Science / Statistics
- Computer Science / Software Engineering
- Cybersecurity
- Business Analytics / Management Information Systems
You should bring most of the following:
- Part-time availability Availability to work approximately 25 hours per week.
- Strong SQL Comfortable writing complex queries joins aggregations window functions and CTEs. Able to reason about query performance on large tables.
- Solid Python Specifically for data work: pandas basic data wrangling and reading/writing common data formats.
- Analytical mindset You can take an ambiguous business question break it down and figure out what data and what analysis would actually answer it.
- Dashboarding exposure Coursework internships or personal projects using Power BI Tableau Looker or a similar tool.
- Curiosity about LLMs and AI tools You have built something with the OpenAI or Anthropic API experimented with retrieval-augmented generation written prompts that do useful work or tried an agent framework. You do not need to have trained a model from scratch.
- Git fundamentals Branching pull requests and working in a real shared codebase.
- Clear written communication You can explain your analysis to people who are not engineers or data scientists.
- Professional maturity You will be working with operational and financial data from a real business. Discretion reliability and attention to detail matter.
Nice to Have (Not Required)
- Exposure to data warehouses or analytical databases (Snowflake BigQuery Redshift Synapse or SQL Server).
- Experience with dbt Airflow or similar transformation and orchestration tools.
- Familiarity with statistical methods: hypothesis testing regression basic forecasting.
- Exposure to LangChain LlamaIndex or similar AI orchestration frameworks.
- Coursework or projects in cybersecurity identity or cloud security.
- Background in facilities services or any operational/industrial context.
The Harvard Promise
Join our team of Extraordinary People committed to delivering Exceptional Service. Together well redefine industry standards and create a workplace where your talent thrives. Discover your potential with Harvard Maintenance. This is a paid internship opportunity designed to provide hands-on experience and professional development. Learn more about our company and culture apply today and be part of something extraordinary.
An Equal Opportunity Employer --- M/F/D/V
Our Salary & Wage Details
Required Experience:
Intern
About Company
Extraordinary People. Exceptional Service. Learn More Over 40 years of Experience. Woman Owned. Proudly Certified. About Harvard® Services Group Harvard® Services Group provides janitorial and building services to a range of businesses nationwide. Working with clients sinc ... View more
