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Knowledge Graph Architect Jobs (NOW HIRING)

BNY Mellon

Knowledge Graph Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a Knowledge Graph Engineer to join our Data Innovation team. In this role, you will ... You will work closely with the Ontology and Knowledge Architecture lead and collaborate across ...

United Airlines

$112 - $147/hr

Architecture & Design: Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models. * Ontology Engineering: Define ...

VeeRteq Solutions Inc.

AI Architect

Chicago, IL · On-site

Responsibilities: - · Define the end-to-end Agentic AI and Knowledge Graph architecture. · Design supervisor, planner, specialized agent, tool-use, and human-in-the-loop patterns. · Define ...

New

Exavalu

$140 - $210/hr

We are looking for an experienced Enterprise Data & Knowledge Graph Architect to lead enterprise data modernization initiatives for a Property & Casualty (P&C) Insurance client. This role will serve ...

ISACA

Sr. Taxonomy & Ontology Architect

Knowledge Graph Architecture and AI Enablement * Support the design, implementation, and optimization of knowledge graph capabilities leveraging Graphwise Graph Modeling, GraphDB, GraphRAG, semantic ...

New

ISACA

Sr. Taxonomy & Ontology Architect

$98K - $148K/yr

Knowledge Graph Architecture and AI Enablement * Support the design, implementation, and optimization of knowledge graph capabilities leveraging Graphwise Graph Modeling, GraphDB, GraphRAG, semantic ...

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Knowledge Graph Architect information

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$46.5K

$128.8K

$201.5K

How much do knowledge graph architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for knowledge graph architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.
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Knowledge Graph Architect jobs near you
Infographic showing various Knowledge Graph Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Senior Knowledge Graph Engineer

The Coca-Cola Company

Atlanta, GA • On-site

$117K - $155K/yr

Full-time

Posted 13 days ago

Coca-Cola rating

7.5

Company rating: 7.5 out of 10

Based on 443 frontline employees who took The Breakroom Quiz

153rd of 444 rated food and drinks producers

Job description

Job Description Summary:
Job title: Senior Knowledge Graph Engineer
At The Coca-Cola Company, our vision is to craft brands and choices people love while refreshing the world in more ways than ever before. Data and intelligence are at the heart of how we understand consumers, accelerate growth, and create a more connected enterprise. The Senior Knowledge Graph Engineer play a pivotal role in building the semantic foundations that drive consistent, trusted, and actionable data across our global system. This role will be part of a forward-looking Data Engineering and Platforms team, enabling scalable use of trusted data, advanced analytics, and knowledge graphs to power decision-making.
Semantic clarity is essential for interoperability across markets, AI models, and platforms. This role will drive the creation of a governed semantic and graph foundation that connects fragmented data sources and enables agents, copilots, analytics, and operational decision-making. This is an individual contributor role focused on hands-on technical leadership, solution design, and delivery excellence rather than direct people management.
Core Responsibilities
  • Lead the design, development, and maintenance of enterprise ontologies, taxonomies, controlled vocabularies, and graph models to enable semantic consistency and interoperability.

  • Define modeling standards, reusable patterns, and implementation strategies for ontologies, entity relationships, upper ontology concepts, and property graph structures.

  • Integrate graph solutions with enterprise data stores, APIs, MCP servers, and related technologies to meet stakeholder needs.

  • Architect scalable mapping pipelines that connect distributed physical data sources to the logical graph layer without data redundancy.

  • Enable AI and machine learning through structured knowledge representations that improve inference, entity resolution, and data discoverability.

  • Use LLMs, GenAI, rules engines, reusable frameworks, and automation utilities to curate, build, adapt, and evolve the corporate ontology catalog.

  • Implement semantic validation, formal reasoning, and performance monitoring frameworks to ensure model correctness, scalability, auditability and reliability.
  • Design semantic layers that explicitly bind underlying physical data tables to the enterprise ontology, ensuring autonomous agents and subagents are grounded in deterministic business logic rather than probabilistic LLM outputs.
  • Develop context-injection and semantic routing patterns that allow multi-agent systems to securely query and traverse the knowledge graph for complex, multistep reasoning and planning.
  • Establish the graph model as the foundational long-term memory and context engine for enterprise copilots, enabling agents to maintain state and context across disjointed user sessions.

Required Qualifications & Experience
  • Bachelor's or master's degree in information science, library science, ontology, semantics, computational linguistics, computer science, or related field.

  • 2+ years of experience defining and implementing production-grade knowledge graphs and ontologies.

  • Ability to develop and implement ontologies and data models in collaboration with stakeholders across data management, search, product management, machine learning, and other enterprise initiatives.

  • 3+ years of experience with knowledge graph technologies such as RDF, OWL, SHACL, SKOS, LPG, and SPARQL.

  • At least 2 years of experience or training with ontology and linked data tools such as Protégé, TopQuadrant, Stardog, Jena, or Data.World.

  • Expert proficiency with graph query languages such as Cypher, GQL, or SPARQL.

  • Familiarity with enterprise ontology management suites and governance frameworks, including Knowledge Graph (organizational, GraphRAG, Query/Traversal) patterns.
  • Hands-on experience integrating knowledge graphs with LLM orchestration and agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) to build productiongrade GraphRAG pipelines.
  • Proficiency in hybrid retrieval strategies, combining vector embeddings with graph traversals to optimize agent context windows.

Preferred Qualifications
  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data.

  • Experience designing architectures that manage parallel, autonomous AI subagents, utilizing the graph to enforce boundaries and prevent conflicting actions.

  • Familiarity with exposing graph traversal functions as distinct 'tools' or 'skills' for LLM tool-calling (e.g., via OpenAI function calling or MCP servers).
  • Experience with Palantir, Microsoft Fabric and Microsoft Foundry.

Success Measures
  • Evaluate the current state of semantic pilots, data assets, and structural mappings across the organization.

  • Standardize the core taxonomical conventions and architectural blueprints for initial multi-domain integration.

  • Demonstrate a measurable reduction in AI hallucination rates and a quantifiable increase in autonomous multi-step task completion by leveraging the governed semantic foundation.

  • Showcase a quantifiable increase in context-retrieval accuracy and performance for dependent enterprise AI applications.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills:
Pay Range:
United States of America: 152,000 USD - 178,300 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
September 23, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

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About Coca-Cola

Sourced by ZipRecruiter

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta where the first glass of Coca‑Cola was poured. From that one iconic drink, we’ve evolved into a total beverage company. More than 2.2 billion servings of our drinks are enjoyed in more than 200 countries and territories each day. We are constantly transforming our portfolio, from reducing added sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities and the planet through water replenishment, packaging recycling, sustainable sourcing practices and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. We are committed to offering people more of the drinks they want across a range of categories and sizes while driving sustainable solutions that build resilience into our business and create positive change for the planet.

Industry

Food services and drinking places and food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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