Agentic Analytics & Data US Intern - Summer 2027

Siemens Asset Management Software provides facility management, asset management, and sustainability software for education, healthcare, government, and commercial customers. Our 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 that supports embedded reporting and analytics. The team is now building agentic analytics, where AI agents answer customer questions using governed, tenant-secure data.

In this internship, you'll 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.

This 10-week Summer Internship will last between May 2027 and August 2027.

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 that give large language models the right context.

Support data governance activities such as cataloging, lineage, and data quality checks across the medallion layers.

Write and optimize SQL and data pipelines that support analytics and AI use cases.

Evaluate agent output for accuracy and consistency, and document findings.

Present your work to the team and stakeholders at the end of the internship.

Currently pursuing a bachelor's or master's degree in Computer Science, Engineering, or a related field. We will consider rising juniors through rising seniors and graduate students.

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.

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 that demonstrates agentic AI or data-related work.

At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day. If you're excited about solving real-world challenges and shaping the future of asset management, we encourage you to apply.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us.

Siemens maintains a Drug Free workplace in accordance with applicable law.

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Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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