AIML Engineer (Knowledge Graph + GenAI)

Role: AI/ML Engineer (Knowledge Graph GenAI)

Location: Dallas TX or Charlotte NC (Onsite Local candidates only)

Contract: Long Term Contract

Job Description:
We are seeking an experienced AI/ML Engineer with 8 years of experience in Generative AI Knowledge Graphs and Agentic AI to design and build scalable AI-driven data solutions. The role focuses on transforming large-scale unstructured data into enterprise-grade Knowledge Graphs and enabling intelligent automation quality analysis and decision support systems.

The candidate will develop AI-powered pipelines for data ingestion entity extraction and relationship mapping using advanced NLP and LLM-based techniques. They will build and enhance AI-driven Quality Analysis and Quality Control (QA/QC) workflows to evaluate and improve Issue Intake processes using prompt engineering orchestration and standardized frameworks.

The role also involves designing and implementing Knowledge Graph models to represent risks issues controls and policies enabling contextual reasoning and real-time recommendations. The engineer will integrate GenAI with Knowledge Graphs to support entity linking semantic enrichment and intelligent insights.

Additionally the candidate will work on AI orchestration prompt management (templates chaining versioning) and workflow automation while ensuring strong observability governance and auditability of AI systems. This includes implementing logging monitoring performance tracking and maintaining compliance with enterprise standards.

The ideal candidate should have strong experience in Python Machine Learning NLP LLMs Knowledge Graph technologies (Neo4j RDF/SPARQL) cloud platforms (AWS/Azure/GCP) and data pipeline tools. Experience with MLOps Docker Kubernetes and CI/CD is highly preferred.

Strong analytical skills problem-solving ability and experience working in enterprise or compliance-driven environments are essential for success in this role.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract