Senior Staff AI Engineer (Knowledge Graph)
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. ams OSRAM scores A on the Alion truth index.
Sense the power of light
The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” - our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com
Your new responsibilities
Generative AI Solutions:
- Build AI-powered applications, AI agents, and Copilot experiences using Large Language Models (LLMs) and modern AI technologies.
- Design and optimize LLM-based solutions, including prompt engineering, tool/function calling, Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows.
- Design, develop, and integrate knowledge graph and graph database solutions (e.g., Neo4j, Cosmos DB) to model complex business relationships, enhance contextual understanding, and improve AI reasoning capabilities.
- Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.
Machine Learning Models:
- Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
- Train, fine-tune, and optimize deep learning models for various applications.
- Work with large-scale datasets to preprocess, clean, and transform data for model training.
Data Pipelines & ML Model Deployment:
- Design and build robust data pipelines for AI applications.
- Collaborate with data engineers to optimize data infrastructure and storage for efficient ML processing.
- Deploy and monitor models in production environments.
Communication & Collaboration:
- Storytelling of results to business stakeholder.
- Collaborate with business stakeholders, architects, data engineers, and software developers to transform business challenges into scalable AI solutions.
Stay updated:
- Stay updated with the latest trends and advancements in data science and AI.
What we look for
[[custUSQual]]
Please contact [[recruiterName]] for further information via [[recruiterEmail]] or [[recruiterPhone]].