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Knowledge Graph Architect Jobs in Dallas, TX (NOW HIRING)

Brillio

Principal Architect - CPQ product

Dallas, TX · On-site

$180 - $300/hr

Define the technical vision across product architecture, data platforms, pricing engines, knowledge ... Design the semantic data core: graph-based modeling with typed relationships, multi-tenant ...

Cotality

Principal Software Engineer (Python)

Dallas, TX · On-site +1

$133K - $179K/yr

Architect and Evolve the Semantic Layer: Lead the redesign and scaling of the existing Semantic ... Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph ...

Brillio

Principal Architect - CPQ product

Dallas, TX · On-site

Define the technical vision across product architecture, data platforms, pricing engines, knowledge ... graph-based modeling with typed relationships, multi-tenant isolation, and provenance. • ...

Ethereum Technologies LLC

Python AI Developer

Dallas, TX · On-site

$90 - $120/hr

Architect and implement systems for dynamic context management, memory, and prompt engineering to ... Knowledge of advanced ML model serving, vector search, or knowledge graph integration. * Experience ...

4MINDS

Fullstack Software Engineer

Dallas, TX · On-site

... Architect scalable, maintainable systems that integrate with the 4MINDS knowledge graph, data pipeline, and AI services • Build and optimize RESTful and GraphQL APIs for internal and external ...

Tata Consultancy Service Limited

AI Architect

Irving, TX · On-site

$150K - $201K/yr

... Graph, Lang smith, Lang chain Semantic Kernel, etc.) • Experience in Python and modern AI/ML ... Knowledge of vector databases, embeddings, and semantic search • Experience with cloud-native ...

Damco Solutions

Azure Cloud Architect

Irving, TX · On-site

$59 - $76.75/hr

... graph and/or unstructured data technologies such as SQL Server, Azure SQL, Azure Data • ... process • Knowledge of authentication (SAML/OAuth/OIDC), MFA, and RBAC • Experience on ...

VeridianTech

AI Architect Remote Role

Dallas, TX · On-site

$62.50 - $82.50/hr

AI Architect Remote Role For only EST or CST candidate Position Overview Core Technical Skills Must ... Experience with knowledge graphs , semantic relationships, graph-based retrieval, and/or knowledge ...

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All JobsKnowledge Graph Architect JobsKnowledge Graph Architect Jobs in Dallas, TX

Knowledge Graph Architect information

See Dallas, TX salary details

$46K

$127.4K

$199.3K

How much do knowledge graph architect jobs pay per year?

As of Aug 23, 2026, the average yearly pay for knowledge graph architect in Dallas, TX is $127,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $164,200.00 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.

What are popular job titles related to Knowledge Graph Architect jobs in Dallas, TX?

For Knowledge Graph Architect jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph Architect jobs in Dallas, TX look for?

The top searched job categories for Knowledge Graph Architect jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Knowledge Graph Architect jobs?

Cities near Dallas, TX with the most Knowledge Graph Architect job openings:

Knowledge Graph Architect jobs near you
Infographic showing various Knowledge Graph Architect job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,370 per year, or $61.2 per hour.

Principal Architect - CPQ product

Brillio

Dallas, TX • On-site

$180 - $300/hr

Other

Re-posted just now

Job description

Principal Architect - CPQ product will own the end-to-end architecture of an AI-native platform built on frontier AI models and agentic workflows. Define the technical vision across product architecture, data platforms, pricing engines, knowledge systems, and AI services while making critical build-vs-buy, platform, and model strategy decisions. Partner closely with product, engineering, and business stakeholders to create a scalable, enterprise-grade solution that transforms complex sales and pricing processes through automation and intelligence. This is a hands-on leadership role requiring deep technical expertise, architectural rigor, and the ability to attract and mentor high-caliber engineering talent.

What will you own?
  • Define the architecture for a hyperscaler and LLM-agnostic product built to run on customer infrastructure - not a platform-locked implementation.
  • Design the semantic data core: graph-based modeling with typed relationships, multi-tenant isolation, and provenance.
  • Architect agentic services - tool-using LLM agents, orchestration, guardrails, and retrieval grounding - as first-class product capabilities.
  • Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
  • Lead technical delivery end-to-end, mentor engineers, and make the build-vs-buy and model-selection calls.
Must-Have Experience:
  • 15+ years building software, with a proven record of shipping real products 0-to-1 through scale - not just running projects.
  • Core LLM engineering: designing agentic systems with frontier models (Claude / GPT) - tool / function calling, agent skills, multi-step orchestration, and memory.
  • Production RAG: embeddings, vector search, chunking and re-ranking, semantic field-mapping, and grounding model output over enterprise data.
  • Prompt & context engineering: structured / JSON output, schema validation, evals and regression harnesses, guardrails, and cost / latency / quality trade-offs.
  • Strong in Python and modern JS/TS (React / Vite); async services, graph / semantic data modeling, containers, and cloud (Azure / AWS / GCP).
Nice to Have:
  • CPQ / quote-to-cash or enterprise SaaS exposure. Salesforce or Revenue Cloud familiarity is a plus, not a requirement - this is a non-Salesforce-native product.
Candidates should demonstrate the below listed critical leadership qualities:
  • Customer Advocacy - Ensures customer success on stated and unstated business priorities through strategic advice and market leading solutions.
  • Owner’s Mindset - Is passionate about Brillio’s business, deeply committed to its success and makes decisions that are in the best interest of the firm.
  • Innovation Ethos - Embraces ambiguity and adopts relentless experimentation to challenge current practices and enable continuous growth.
  • Execution with Pace - Displays agility to deliver high quality results in the face of changing stakeholder expectations.
  • Big Picture Thinking - Creates a common definition of shared success and sets bold targets that inspire the team towards new horizons.
  • Winning Through Teams - Enables a culture of collaboration and empowers teams to "raise their game” to create a winning formula.
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