Agentic Analytics & Data US Intern - Summer 2027
About The Position
Siemens Asset Management Software provides facility management, asset management, and sustainability software for education, healthcare, government, and commercial customers. Its products include Asset Essentials, TheWorxHub, SmartAssets, and Confirm. The Data & Business Intelligence team operates a cloud data platform using a Bronze/Silver/Gold medallion data warehouse architecture to support embedded reporting and analytics, and is building agentic analytics in which AI agents answer customer questions using governed, tenant-secure data. During this 10-week Summer 2027 internship, the intern will contribute to production-scale data and AI work on a SaaS platform, receive mentorship from data architects and BI leaders, and gain exposure to how a global software organization approaches AI, governance, and tenant security. The internship lasts between May 2027 and August 2027. The position is remotely based within the United States, with the first week onsite in Raleigh, North Carolina for onboarding and relationship-building; afterward, the role is fully remote.
Requirements
- Currently pursuing a bachelor's or master's degree in Computer Science, Engineering, or a related field; rising juniors through rising seniors and graduate students will be considered.
- Strong SQL skills and solid data engineering fundamentals, including data modeling, ETL/ELT, and Python.
- Hands-on experience with large language models, such as prompt design, APIs, or agent frameworks, through coursework, projects, or prior work.
- Curiosity about how AI agents reason over data and the discipline to test whether their outputs are accurate.
- Legally authorized to work in the United States without requiring employer-sponsored work authorization now or in the future.
Nice To Haves
- Familiarity with metadata management, data catalogs, or data governance concepts.
- Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure; cloud data warehouses such as Snowflake; or BI tools such as Tableau or Power BI.
- Experience with semantic layers, retrieval, or evaluating large language model outputs.
- Awareness of multi-tenant data warehouse security concepts such as row-level security.
- A portfolio, GitHub repository, or project demonstrating agentic AI or data-related work.
Responsibilities
- Build and test agentic analytics workflows that turn natural-language questions into trustworthy answers using work order, asset, inspection, and maintenance data.
- Develop context-engineering patterns, including semantic views, metric definitions, and curated metadata, to provide large language models with appropriate context.
- Support data governance activities such as cataloging, lineage, and data quality checks across the medallion layers.
- Write and optimize SQL and data pipelines for analytics and AI use cases.
- Evaluate agent output for accuracy and consistency, and document findings.
- Present work to the team and stakeholders at the end of the internship.
Benefits
- Eligible to contribute to Siemens's 401K program.
- Hourly pay range of $29–$34, based on projected graduation year; the actual wage may vary based on budget, candidate experience, knowledge, skills, qualifications, and premium geographic location.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
