Principal / Lead AI ML Engineer – Knowledge Graphs & GenAI - Dallas, TX (Hybrid)

Our client is looking Principal / Lead AI ML Engineer – Knowledge Graphs & GenAI in Dallas, TX (Hybrid) below is the detailed requirements. Job Title : Principal / Lead AI ML Engineer – Knowledge Graphs & GenAI Location : Dallas, TX (Hybrid) Duration: Long term Job Summary: We are seeking a highly experienced AI/ML Engineer with a strong foundation in knowledge graph engineering and generative AI to design, build, and scale intelligent data pipelines that transform large scale unstructured data into enterprise grade Knowledge Graphs. The ideal candidate will have deep experience in ontology modeling, entity resolution, probabilistic pattern matching, and agentic knowledge base enrichment, combined with strong expertise in LLMs/SMLs, fine tuning pipelines, and graph based reasoning systems. This role involves architecting and delivering production grade AI systems that integrate LLMs with knowledge graphs, enabling contextual reasoning, anomaly detection, and intelligent automation at scale. Job Description: • Bachelor's degree or Masters Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience. • Strong AI/ML engineering background with deep expertise in: Python, Model development, training, tuning, and deployment. • Extensive hands on experience with: LLMS, SMLS, Generative AI and reasoning models. • Strong experience with: Neo4j, GraphDB, RDF, OWL, Cypher, SPARQL • Proven ability to implement: Entity linking and resolution, Semantic search, Relationship mapping and inference. • Experience building GenAI systems using: LangChain, LangGraph, LlamaIndex, OpenAI / Azure OpenAI, Vector databases such as Pinecone and FAISS • Strong experience in MLOps and LLMOps, including: MLflow, Azure ML, Datadog, CI/CD automation for ML systems • Experience deploying and operating AI systems in production environments. • Experience building and optimizing AI/ML and graph pipelines either of any on: Azure/ AWS/ GCP • Strong understanding of distributed systems, scalability, and performance optimization. • Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues. Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.