Our client, a Fortune 50 leader in enterprise solutions and innovations, is seeking a Senior AI Engineer with Knowledge Graphs and LLMs skills to join their AI incubator to scout, incubate, and validate internal ideas. This role is part of a high-impact strategy leveraging Graph Neural Networks (GNNs) and Generative AI to redefine workflows, semantic search, and intelligence for enterprise solutions in Finance, Operations, Supply Chain, Engineering, or Investments.
This is a remote-first position with a required overlap of US working hours (2-6 PM CET).
Build Agentic Workflows: Implement orchestration, retrieval pipelines, and validator agents using graph-aware tools.
Optimize Retrieval: Build hybrid search pipelines (lexical + vector) and integrate vector databases like FAISS, Milvus, or Pinecone.
Model Integration: Integrate LLMs (Azure OpenAI, Anthropic) and support domain-specific fine-tuning or adapter models.
Scalable Engineering: Develop robust API endpoints and ETL pipelines to support model and agent runtimes.
Experiment & Evaluate: Create evaluation suites for reliability, drift detection, and performance optimization.