Jobs
Jobs
34,794 jobs found
Loading more...
Sevita
Direct Support Professional
Source: National Labor Exchange
Sevita
Program Supervisor
Source: National Labor Exchange
Sevita
Direct Support Professional
Source: National Labor Exchange
Sevita
Direct Support Professional
Source: National Labor Exchange
Sevita
Direct Support Professional
Source: National Labor Exchange
Sevita
Direct Support Professional
Source: National Labor Exchange
Sevita
Direct Support Professional
Source: National Labor Exchange
Mastercard
Lead Security Monitoring and Response Analyst (Insider Threat Program Lead)
Source: National Labor Exchange
Mastercard
Director, Product Management
Source: National Labor Exchange
Mastercard
Software Engineer II
Source: National Labor Exchange
Mastercard
Security Monitoring and Response Analyst II
Source: National Labor Exchange
Mastercard
Director, AI & Data Strategy
Source: National Labor Exchange
Mastercard
Senior Software engineer
Source: National Labor Exchange
Aegis Therapies
Wellness Instructor
Source: National Labor Exchange
Rubrik
Senior Commercial Compliance Analyst
Source: National Labor Exchange
Google
Regional Lead Data Center Electrical Engineer, Google Data Centers
Source: National Labor Exchange
Bath & Body Works
Retail Brand Experience Key Holder-Belton Gateway
Source: National Labor Exchange
Elevance Health
Registered Nurse (PRN) - Paragon Infusion Centers
Source: National Labor Exchange
General Motors
Program Manager, Defense Manufacturing - GM Defense
Source: National Labor Exchange
CABLE ONE, INC.
Supervisor, Warehouse
Teradata
Sr Manager, Technical Program Manager
Source: National Labor Exchange
Teradata
Senior Data Modeler
Source: National Labor Exchange
Teradata
Principal Engineer, Domain Knowledge
Source: National Labor Exchange
Teradata
Principal Engineer, NLP
Source: National Labor Exchange
Teradata
Principal Engineer, Semantic Platforms and Graph Intelligence
Source: National Labor Exchange
AutoZone, Inc.
Retail Sales Associate - Part Time
Source: National Labor Exchange
AutoZone, Inc.
Commercial Driver - Full Time
Source: National Labor Exchange
AutoZone, Inc.
Part Sales Manager - Full Time
Source: National Labor Exchange
AutoZone, Inc.
Commercial Driver - Full Time
Source: National Labor Exchange
AutoZone, Inc.
Commercial Sales Manager
Source: National Labor Exchange
AutoZone, Inc.
Retail Sales Associate - Part Time
Source: National Labor Exchange
AutoZone, Inc.
Commercial Driver - Part Time
Source: National Labor Exchange
MISSOURI OZARKS COMMUNITY ACTION INC
Teachers Aide
Health Advocates Network
RN - Med-Surg
Source: National Labor Exchange
Henkel
Maintenance Electrician
Source: National Labor Exchange
Lowe's
Full Time - Sales Associate - Building Materials - Closing
Source: National Labor Exchange
Graybar
Sales Enablement Specialist (Remote)
Source: National Labor Exchange
Adecco US, Inc.
USA Material Handler Level 1
Source: National Labor Exchange
Saint-Gobain
Production Operator
Source: National Labor Exchange
Saint-Gobain
Maintenance Mechanic
Source: National Labor Exchange
Loading more...
Job ID #85533
Teradata
Principal Engineer, Semantic Platforms and Graph Intelligence
location_on
Jefferson City, MO
description
Summary
Our company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You'll Do
We are seeking a world-class Principal Knowledge Graph Engineer to lead the architecture, development, and evolution of next-generation knowledge graph platforms that power AI, reasoning, discovery, and autonomous decision-making at enterprise scale for Teradata Context Engine.
This role is intended for a recognized technical leader who has built and operated very large-scale knowledge graphs comprising billions of entities, relationships, events, documents, and embeddings derived from both structured and unstructured data. You will own, and drive innovation at the intersection of graph technologies, semantic modeling, information retrieval, machine learning, agents, and generative AI for Teradata Context Engine, our Autonomous Knowledge Platform. Context Engine is a platform that converts enterprise data estates into governed, agent-ready knowledge. Built for organizations where AI reliability and auditability are non-negotiable, Context Engine enables companies to deploy AI workflows on the data they already own - without rebuilding their infrastructure, without retraining their models, and without waiting for generic AI synthesis to learn the business terminology that took their analysts years to master.
Technical Leadership
+ Define and execute the long-term vision for enterprise knowledge graph architecture and graph-enabled AI systems.
+ Lead the design of highly scalable graph platforms supporting billions of nodes and edges across multiple data domains.
+ Establish standards, frameworks, and best practices for graph modeling, ontology design, semantic interoperability, and graph lifecycle management.
+ Serve as the company's senior technical authority on graph technologies, semantic systems, and knowledge representation.
Knowledge Graph Architecture
+ Design and implement large-scale knowledge graphs that integrate:
+ Structured enterprise data
+ Semi-structured data
+ Documents and content repositories
+ Event streams
+ APIs and external data sources
+ Embedding and vector representations
+ LLM-generated knowledge artifacts
+ Develop scalable entity resolution, identity graph, and record-linkage frameworks.
+ Build semantic layers that unify business concepts across disparate systems.
AI, Retrieval & Reasoning
+ Design hybrid retrieval architectures combining:
+ Knowledge graphs
+ Vector databases
+ Full-text search
+ Semantic retrieval
+ Agentic workflows
+ Enable GraphRAG and graph-enhanced AI experiences.
+ Develop graph-based reasoning systems that support explainable AI and autonomous decision-making.
+ Apply graph algorithms, network analysis, and graph machine learning to generate insights and predictions.
Engineering & Platform Development
+ Build distributed graph ingestion and processing pipelines for large-scale enterprise environments.
+ Optimize graph performance, storage, indexing, partitioning, caching, and query execution.
+ Implement graph observability, quality assurance, lineage, governance, and monitoring capabilities.
+ Contribute production-grade code and lead the development of reusable graph services and platforms.
Industry Leadership
+ Stay at the forefront of advancements in:
+ Knowledge graphs
+ Semantic technologies
+ Graph databases
+ Graph machine learning
+ Retrieval systems
+ AI agents
+ Large and small language models
+ Publish technical papers, patents, blogs, conference talks, and thought leadership where appropriate.
+ Mentor senior engineers and influence architecture across the organization.
+ A plus would be in-depth knowledge in at least one vertical, such as Healthcare, Finance, etc.
Who You'll Work With
You will work hands-on across the full lifecycle of graph systems, from ontology engineering and graph construction to retrieval, reasoning, embeddings, graph machine learning, and AI-powered applications. This is not a management role. We are looking for a builder, architect, and technical thought leader who can design systems, write code, solve hard problems, and influence strategy.
What Makes You a Qualified Candidate
Experience
+ 12+ years of software engineering experience.
+ 8+ years designing and implementing enterprise-scale graph systems.
+ Proven experience building and operating knowledge graphs with hundreds of millions to billions of nodes and relationships.
+ Demonstrated success integrating structured, semi-structured, and unstructured data into production graph platforms.
+ Experience leading architecture for mission-critical data or AI platforms.
Deep Knowledge of Graph Technologies
Expert-level understanding of:
+ Property graphs
+ RDF, RDFS, OWL
+ Knowledge representation and reasoning
+ Ontology design and semantic modeling
+ Taxonomy development
+ Entity resolution and identity graphs
+ Graph query languages:
+ Cypher
+ SPARQL
+ Gremlin
+ GraphQL
Graph Platforms
Strong experience with several of:
+ JanusGraph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ Memgraph
+ ArangoDB
+ Stardog
+ Ontotext GraphDB
+ Virtuoso
AI and Machine Learning
Hands-on experience with:
+ GraphRAG architectures
+ Retrieval-augmented generation
+ Graph embeddings
+ Knowledge-enhanced LLM systems
+ Vector databases
+ Graph neural networks
+ Link prediction
+ Node classification
+ Recommendation and ranking systems
Large-Scale Data Engineering
Expertise in:
+ Distributed systems
+ Streaming architectures
+ Spark
+ Kafka
+ Data pipelines
+ Data governance
+ Data quality
+ Metadata management
+ Cloud-native architectures
Software Engineering
Strong coding ability in:
+ Python
+ Java
+ Scala
+ Go
+ C#
Experience with:
+ API design
+ Distributed computing
+ Containerization
+ Kubernetes
+ CI/CD
+ Cloud-native development
What You'll Bring
+ PhD or MS in Computer Science, Information Science, Knowledge Representation, Artificial Intelligence, Machine Learning, or related disciplines.
+ Contributions to widely adopted graph technologies or open-source projects.
+ Published research in knowledge graphs, semantic technologies, g...
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You'll Do
We are seeking a world-class Principal Knowledge Graph Engineer to lead the architecture, development, and evolution of next-generation knowledge graph platforms that power AI, reasoning, discovery, and autonomous decision-making at enterprise scale for Teradata Context Engine.
This role is intended for a recognized technical leader who has built and operated very large-scale knowledge graphs comprising billions of entities, relationships, events, documents, and embeddings derived from both structured and unstructured data. You will own, and drive innovation at the intersection of graph technologies, semantic modeling, information retrieval, machine learning, agents, and generative AI for Teradata Context Engine, our Autonomous Knowledge Platform. Context Engine is a platform that converts enterprise data estates into governed, agent-ready knowledge. Built for organizations where AI reliability and auditability are non-negotiable, Context Engine enables companies to deploy AI workflows on the data they already own - without rebuilding their infrastructure, without retraining their models, and without waiting for generic AI synthesis to learn the business terminology that took their analysts years to master.
Technical Leadership
+ Define and execute the long-term vision for enterprise knowledge graph architecture and graph-enabled AI systems.
+ Lead the design of highly scalable graph platforms supporting billions of nodes and edges across multiple data domains.
+ Establish standards, frameworks, and best practices for graph modeling, ontology design, semantic interoperability, and graph lifecycle management.
+ Serve as the company's senior technical authority on graph technologies, semantic systems, and knowledge representation.
Knowledge Graph Architecture
+ Design and implement large-scale knowledge graphs that integrate:
+ Structured enterprise data
+ Semi-structured data
+ Documents and content repositories
+ Event streams
+ APIs and external data sources
+ Embedding and vector representations
+ LLM-generated knowledge artifacts
+ Develop scalable entity resolution, identity graph, and record-linkage frameworks.
+ Build semantic layers that unify business concepts across disparate systems.
AI, Retrieval & Reasoning
+ Design hybrid retrieval architectures combining:
+ Knowledge graphs
+ Vector databases
+ Full-text search
+ Semantic retrieval
+ Agentic workflows
+ Enable GraphRAG and graph-enhanced AI experiences.
+ Develop graph-based reasoning systems that support explainable AI and autonomous decision-making.
+ Apply graph algorithms, network analysis, and graph machine learning to generate insights and predictions.
Engineering & Platform Development
+ Build distributed graph ingestion and processing pipelines for large-scale enterprise environments.
+ Optimize graph performance, storage, indexing, partitioning, caching, and query execution.
+ Implement graph observability, quality assurance, lineage, governance, and monitoring capabilities.
+ Contribute production-grade code and lead the development of reusable graph services and platforms.
Industry Leadership
+ Stay at the forefront of advancements in:
+ Knowledge graphs
+ Semantic technologies
+ Graph databases
+ Graph machine learning
+ Retrieval systems
+ AI agents
+ Large and small language models
+ Publish technical papers, patents, blogs, conference talks, and thought leadership where appropriate.
+ Mentor senior engineers and influence architecture across the organization.
+ A plus would be in-depth knowledge in at least one vertical, such as Healthcare, Finance, etc.
Who You'll Work With
You will work hands-on across the full lifecycle of graph systems, from ontology engineering and graph construction to retrieval, reasoning, embeddings, graph machine learning, and AI-powered applications. This is not a management role. We are looking for a builder, architect, and technical thought leader who can design systems, write code, solve hard problems, and influence strategy.
What Makes You a Qualified Candidate
Experience
+ 12+ years of software engineering experience.
+ 8+ years designing and implementing enterprise-scale graph systems.
+ Proven experience building and operating knowledge graphs with hundreds of millions to billions of nodes and relationships.
+ Demonstrated success integrating structured, semi-structured, and unstructured data into production graph platforms.
+ Experience leading architecture for mission-critical data or AI platforms.
Deep Knowledge of Graph Technologies
Expert-level understanding of:
+ Property graphs
+ RDF, RDFS, OWL
+ Knowledge representation and reasoning
+ Ontology design and semantic modeling
+ Taxonomy development
+ Entity resolution and identity graphs
+ Graph query languages:
+ Cypher
+ SPARQL
+ Gremlin
+ GraphQL
Graph Platforms
Strong experience with several of:
+ JanusGraph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ Memgraph
+ ArangoDB
+ Stardog
+ Ontotext GraphDB
+ Virtuoso
AI and Machine Learning
Hands-on experience with:
+ GraphRAG architectures
+ Retrieval-augmented generation
+ Graph embeddings
+ Knowledge-enhanced LLM systems
+ Vector databases
+ Graph neural networks
+ Link prediction
+ Node classification
+ Recommendation and ranking systems
Large-Scale Data Engineering
Expertise in:
+ Distributed systems
+ Streaming architectures
+ Spark
+ Kafka
+ Data pipelines
+ Data governance
+ Data quality
+ Metadata management
+ Cloud-native architectures
Software Engineering
Strong coding ability in:
+ Python
+ Java
+ Scala
+ Go
+ C#
Experience with:
+ API design
+ Distributed computing
+ Containerization
+ Kubernetes
+ CI/CD
+ Cloud-native development
What You'll Bring
+ PhD or MS in Computer Science, Information Science, Knowledge Representation, Artificial Intelligence, Machine Learning, or related disciplines.
+ Contributions to widely adopted graph technologies or open-source projects.
+ Published research in knowledge graphs, semantic technologies, g...
Do You Have a MO Jobs Account?
Your HireMO account is created from your MO Jobs account, so we need to connect the two.
Already have an account?
Sign In
First, Let's Find Your MO Jobs Account
HireMO works together with MO Jobs, the State of Missouri jobs website.
Create an Account to Apply
Your MO Jobs account is connected. Choose an email and password to sign in to HireMO.
You Need a MO Jobs Account First
HireMO works together with MO Jobs, the State of Missouri jobs website. You need a MO Jobs account before you can create your HireMO account.
- Create your MO Jobs account at jobs.mo.gov. It is free.
- Log in to MO Jobs, then click HireMO from there. That link brings you back here to finish your registration.
- Complete your HireMO account.