ZipRecruiter

Log In

1

Knowledge Graph Architect Jobs in California (NOW HIRING)

Clera

Staff Engineer

Los Angeles, CA · On-site

$250 - $300/hr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade systems ...

Clera

Staff Engineer

Los Angeles, CA · On-site

$250K - $300K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade systems ...

Hop

Principal AI Architect

San Francisco, CA

LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling. Comfort operating in greenfield conditions: high ambiguity, high ownership. Patents ...

DevRev

Tech Alliance Architect

Palo Alto, CA

... shared knowledge graph. Our Tech Alliances team drives deep technical partnerships with the most ... We're hiring a Tech Alliance Architect to be the technical heartbeat of these partnerships. You'll ...

Hop

Principal AI Architect

San Francisco, CA

LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data modeling. * Comfort operating in greenfield conditions: high ambiguity, high ownership. * Patents ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...

Rox

Core Engineering

San Francisco, CA · On-site

Help shape the long-term architecture behind Rox's agent runtime Problems You'll Work On ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...

Clera

Staff Engineer

San Francisco, CA · On-site

$250 - $300/hr

... knowledge graph architecture. * Architect and maintain production-grade systems capable of handling millions of API requests, with a sharp focus on performance, cost efficiency, and reliability ...

DevRev

Tech Alliance Architect

Palo Alto, CA · On-site

... shared knowledge graph. Our Tech Alliances team drives deep technical partnerships with the most ... We're hiring a Tech Alliance Architect to be the technical heartbeat of these partnerships. You'll ...

previous page

Showing results 41-60

All JobsKnowledge Graph Architect JobsKnowledge Graph Architect Jobs in California

Knowledge Graph Architect information

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 California?

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

What job categories do people searching Knowledge Graph Architect jobs in California look for?

The top searched job categories for Knowledge Graph Architect jobs in California are:

What cities in California are hiring for Knowledge Graph Architect jobs?

Cities in California with the most Knowledge Graph Architect job openings:

Knowledge Graph Architect jobs near you
Infographic showing various Knowledge Graph Architect job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principal Engineer - AI/ML Architecture

Jobtailor

Foster City, CA • On-site

$180 - $260/hr

Other

Posted 5 days ago

Job description

  • Define the architecture for model training, evaluation, and serving across Coupa's AI platform.
  • Evaluate and select model approaches (open-weight, commercial, and hybrid) against enterprise accuracy and cost requirements.
  • Design evaluation frameworks that measure model quality on Coupa's specific task categories.
  • Drive technical partnership evaluations with AI infrastructure and model providers.
  • Architect training data pipelines, including synthetic data generation and quality validation.
  • Design retrieval-augmented generation (RAG) systems that extend our existing RAG infrastructure with structured knowledge retrieval.
  • Establish technical standards for model safety, tenant data isolation, and responsible AI.
  • Write code, review PRs, and prototype approaches, especially in the early phases.
  • Mentor and guide ML and data engineers across US and India.
  • Collaborate with product, existing AI platform, and cloud operations teams.
Requirements
  • 15+ years of software engineering experience, with 5+ years focused on ML/AI systems.
  • Demonstrated experience training or fine-tuning large language models. Must have shipped a fine-tuned or domain-adapted model to production.
  • Deep knowledge of transformer architectures, training optimization (LoRA, QLoRA, PEFT, RLHF, DPO), and inference serving.
  • Experience with distributed training on GPU clusters.
  • Strong understanding of RAG architectures, vector search, embedding models, and knowledge graph integration.
  • Hands‑on experience with cloud AI/ML services (model hosting, managed training, or equivalent).
  • Experience designing and running custom evaluation suites for LLMs.
  • Proficiency in Python, PyTorch, and ML infrastructure tooling.
  • Advanced degree in Computer Science, Machine Learning, or equivalent practical experience.
  • Experience with enterprise B2B SaaS platforms preferred.
Core Competencies

Expertise in architecting and optimizing machine learning systems, particularly in training and deploying large language models. Strong capability in designing evaluation frameworks and ensuring model safety and compliance within AI platforms.

Highest-signal resume keywords
  • Machine Learning Systems Architecture
  • Large Language Model Training
  • Transformer Architectures
  • Cloud AI/ML Services
  • Python and PyTorch Proficiency
ATS Optimization KeywordsHard Skills
  • Model Training
  • Model Evaluation
  • Distributed Training
  • Training Optimization
  • RAG Systems Design
  • Synthetic Data Generation
  • Knowledge Graph Integration
  • Embedding Models
  • Evaluation Suite Design
  • Fine‑Tuning Models
Soft Skills
  • Mentoring
  • Collaboration
Certifications & Qualifications
  • Advanced Degree in Computer Science
  • Advanced Degree in Machine Learning
Industry Keywords
  • B2B SaaS Platforms
  • Responsible AI
  • Technical Standards
  • Model Safety
  • Tenant Data Isolation
Tools & Technologies
  • GPU Clusters
  • AI Infrastructure Tooling
#J-18808-Ljbffr

Apply