AI/ML Engineer (Knowledge Graph + GenAI)

Trident Consulting Inc•Dallas, TX

1d•Onsite

About The Position

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.

Requirements

8+ years of experience in Generative AI, Knowledge Graphs, and Agentic AI
Strong experience in Python
Strong experience in Machine Learning
Strong experience in NLP
Strong experience in LLMs
Strong experience in Knowledge Graph technologies (Neo4j, RDF/SPARQL)
Strong experience in cloud platforms (AWS/Azure/GCP)
Strong experience in data pipeline tools
Strong analytical skills
Problem-solving ability
Experience working in enterprise or compliance-driven environments

Nice To Haves

Experience with MLOps
Experience with Docker
Experience with Kubernetes
Experience with CI/CD

Responsibilities

Design and build scalable AI-driven data solutions.
Transform large-scale unstructured data into enterprise-grade Knowledge Graphs.
Enable intelligent automation, quality analysis, and decision support systems.
Develop AI-powered pipelines for data ingestion, entity extraction, and relationship mapping using advanced NLP and LLM-based techniques.
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.
Design and implement Knowledge Graph models to represent risks, issues, controls, and policies, enabling contextual reasoning and real-time recommendations.
Integrate GenAI with Knowledge Graphs to support entity linking, semantic enrichment, and intelligent insights.
Work on AI orchestration, prompt management (templates, chaining, versioning), and workflow automation.
Ensure strong observability, governance, and auditability of AI systems.
Implement logging, monitoring, performance tracking, and maintain compliance with enterprise standards.