Job Description

Hello eager tech expert!

As a Junior Ontology & Knowledge Data Engineer, you’ll work alongside senior engineers and architects, learning to shape the semantic layer that gives our AI agents context and meaning. You’ll help bridge the gap between traditional data and modern AI-powered decision-making.

You’ll break new ground by

What You Will Do

You’ll roll up your sleeves and learn how to make data “think”—supporting both day-to-day engineering tasks and innovative projects to help Siemens run smarter.

Areas & Tasks

Ontology & Schema Support

Assist in developing and maintaining ontologies (using OWL/RDF) and semantic schemas for domains like Accounts Payable, HR, Sales, and Delivery.

Help document and apply standardized vocabularies for key business processes.

Knowledge Graph Development

Support senior engineers in building and updating the Enterprise Knowledge Graph.

Help ingest and integrate data from sources such as SAP, Workday, and other platforms.

Context Engineering for AI

Assist in preparing the right contextual data for prompt inputs to AI agents, enhancing their reasoning and accuracy for targeted queries.
Data Governance & Standards

Learn and help enforce data governance and semantic standards.
Participate in training sessions and grow your knowledge of best practices for AI-driven analytics.

Key Responsibilities

Support the design and maintenance of ontologies (OWL/RDF/SKOS) under guidance of senior engineers.
Assist in implementing and updating the Enterprise Knowledge Graph.
Help build and maintain data pipelines for integrating enterprise data from systems like SAP and Workday.
Collaborate with Data and AI Engineers to optimize semantic context for LLMs and AI-driven workflows.
Contribute to the integration of knowledge graphs with AI technologies, including LLMs and vector databases.
Learn and apply semantic modeling standards and governance practices.
Work as part of cross-functional teams and engage in continuous learning.

You’re excited to build on your existing expertise, including:

Required Skills & Qualifications

Educational Background: Bachelor’s degree in computer science, Information Science, Engineering, or related fields. Recent graduates or candidates with up to 2 years relevant experience are encouraged to apply.
Technical Skills:

Basic understanding of ontologies, knowledge graphs, and semantic web technologies (RDF, OWL, SKOS).
Familiarity with Python for scripting, SQL and data integration tasks.
Exposure to graph query languages (SPARQL or Cypher) is a bonus.

Interest in AI: Enthusiastic about AI, language models, and retrieval-augmented generation architectures.
Domain Knowledge: Any exposure to shared services like Finance, HR, Sales, or Delivery is an advantage (not required).
Collaboration: Good analytical skills and a willingness to learn, work collaboratively in multidisciplinary teams, and grow within Siemens.

Create a better #TomorrowWithUs!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers