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Knowledge Graph Engineer Jobs in Texas (NOW HIRING)

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Experience implementing Graph RAG and knowledge graph solutions. * Experience with MCP (Model ...

New

4MindsAI Inc.

Fullstack Software Engineer

Dallas, TX · On-site

$140K - $180K/yr

Through 4Minds's automated data pipeline and proprietary knowledge graph, enterprises can connect ... You'll report to the Engineering Manager and work closely with product, AI research, and ...

Geico

Staff Engineer - Applied AI

Dallas, TX · On-site

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create ... Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design.

The Talent Mine

Ontology Engineer

Dallas, TX

Minimum Requirements: * 3+ years of experience in ontology engineering, knowledge graph development, or semantic data modeling. * Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C ...

The Talent Mine

Ontology Engineer

Dallas, TX

Minimum Requirements: * 3+ years of experience in ontology engineering, knowledge graph development, or semantic data modeling. * Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C ...

4MindsAI Inc.

Fullstack Software Engineer

Dallas, TX

$140K - $180K/yr

Through 4Minds's automated data pipeline and proprietary knowledge graph, enterprises can connect ... You'll report to the Engineering Manager and work closely with product, AI research, and ...

Gandiva Insights

Data Engineer - Palantir Must

Dallas, TX · On-site

$113K - $136K/yr

Role : Senior Data Engineer - Palantir Certification Must location : 100% Remote Duration ... Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog ...

Trellix

Data Scientist

Enterprise, TX

Develop methods to validate knowledge graph quality, coverage, and correctness including entity resolution, relationship accuracy, and graph completeness metrics. * Dataset Engineering: Build, curate ...

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/yr

Senior Data Engineer At Billee , we're building the next generation of utility billing. Our goal is ... LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval * Azure experience

Talenzaa

Snowflake Architect

Houston, TX · On-site

$61 - $78.25/hr

Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts . * Strong SQL skills and experience with Python or another data engineering language.

New

Biztec Global LLC

Snowflake Architect

Houston, TX · On-site

$130K/yr

... or knowledge graph concepts. * - Strong SQL skills and experience with Python or another data engineering language. * - Ability to work with business stakeholders to define data entities ...

Programmers.io

SAP AI Architect

Austin, TX · On-site

$81.50 - $109.75/hr

Knowledge of SAP Generative AI Knowledge Graph and semantic data modeling. * Extensive experience with SAP Business Technology Platform services. * Strong understanding of Python, REST APIs, and ...

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Knowledge Graph Engineer jobs near you
Infographic showing various Knowledge Graph Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Gen. AI Engineer

INFOSYS NOVA HOLDINGS LLC

Fort Worth, TX • On-site

$100K - $160K/yr

Full-time

Posted yesterday

Job description

Overview

We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native technologies. This is a hands-on engineering role focused on building production-ready AI platforms from architecture through deployment.

The ideal candidate has extensive experience developing scalable AI solutions, integrating LLMs into enterprise applications, and delivering secure, reliable systems that operate in production environments.

Responsibilities
  • Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures.
  • Build scalable document ingestion, embedding, retrieval, and vector search pipelines.
  • Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies.
  • Create secure backend services and APIs using Python, FastAPI, Flask, or comparable frameworks.
  • Build intuitive AI-powered web applications using modern front-end technologies such as React, Angular, or Next.js.
  • Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and Infrastructure-as-Code.
  • Implement observability, monitoring, LLMOps, and governance to ensure production reliability and responsible AI practices.
  • Collaborate with product, engineering, architecture, and business stakeholders to deliver enterprise AI solutions.
Required Qualifications
  • 8+ years of software engineering, cloud engineering, AI/ML, or platform engineering experience.
  • 3+ years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong expertise with Python and API development using FastAPI, Flask, or similar frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
  • Experience with Agentic AI frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, or AutoGen.
  • Strong understanding of prompt engineering, tool calling, agent orchestration, and workflow automation.
  • Experience developing cloud-native applications on AWS, Azure, or GCP.
  • Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices.
  • Experience integrating enterprise AI applications with databases, APIs, and business systems.
  • Strong understanding of security, governance, and responsible AI best practices.
Preferred Qualifications
  • Experience implementing Graph RAG and knowledge graph solutions.
  • Experience with MCP (Model Context Protocol) architecture.
  • Experience deploying models using vLLM, Hugging Face, Triton, or TensorRT-LLM.
  • Experience with Databricks, Spark, Kafka, Snowflake, or modern data engineering platforms.
  • Experience building AI applications within regulated industries such as Financial Services, Healthcare, or Insurance.
  • Azure, AWS, Google Cloud, or Databricks AI certifications.
Technical Environment
  • Languages: Python, JavaScript/TypeScript, SQL
  • Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, React, Angular, Next.js
  • Cloud: AWS, Azure, GCP
  • Vector Databases: Pinecone, Weaviate, Chroma, Milvus, Azure AI Search
  • DevOps: Docker, Kubernetes, Terraform, GitHub Actions, Jenkins
  • AI Platforms: OpenAI, Claude, Gemini, Llama, AWS Bedrock, Azure OpenAI