Senior Applied AI Engineer/Scientist – Semantic AI, Central Reliability Maintenance Engineering
Amazon3 months ago
Luxembourg (city not specified)Senior
Responsibilities
- Lead semantic-layer and ontology initiatives supporting agentic AI, retrieval, explainability, governance, and autonomous workflows.
- Design, build, and deploy graph-based AI solutions combining knowledge graphs, LLMs, and ML models.
- Own pipelines that extract, transform, and enrich entity relationships from unstructured and semi-structured sources into production knowledge graphs.
- Design and operate graph and vector databases for retrieval, causal reasoning, analytics, and question answering.
- Integrate LLMs and ML models into pipelines for classification, embeddings, document similarity, entity extraction, and semantic analysis.
- Optimize models and inference pipelines for production latency, throughput, cost, and infrastructure reliability.
- Establish knowledge-engineering and applied-science standards, and mentor colleagues on knowledge graphs, semantic modeling, and applied AI.
Requirements
- Experience conveying complex technical concepts to technical and business audiences.
- Experience in machine learning, data mining, information retrieval, statistics, natural language processing, or developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
- MSc or PhD in Computer Science, Computational Linguistics, Information Science, or a related quantitative field, or equivalent industry experience.
- Proven experience developing and deploying production knowledge graphs in enterprise-scale business environments.
- Deep expertise in semantic technologies, modeling languages such as RDF and OWL, and query languages such as SPARQL, Gremlin, Cypher, or other GQLs.
- Experience with MLOps practices, production-grade pipelines, ML CI/CD, containerization, and monitoring of deployed AI solutions.
- Preferred: PhD with relevant publications, AWS services knowledge, graph visualization, graph theory and analytics, and clean, modular, testable ML code.
Tech Stack
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.