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Taxonomy Jobs in Georgia (NOW HIRING)

2T Consulting

Experience with ontology and semantic modeling, including entities, relationships, taxonomy, metadata, lineage, semantic layers, knowledge graphs, RDF/OWL/SPARQL, or graph databases. * Strong ...

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Taxonomy information

See Georgia salary details

$15

$48

$64

How much do taxonomy jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for taxonomy in Georgia is $48.01, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $54.18 per hour, depending on experience, location, and employer.

What is a taxonomy?

A Taxonomy job involves organizing, categorizing, and structuring information to improve searchability and data management. Taxonomists create classification systems, metadata schemas, and controlled vocabularies to help users find relevant content efficiently. They often work in fields like e-commerce, libraries, knowledge management, and artificial intelligence. Their role is crucial for enhancing navigation, search functionality, and data consistency across digital platforms.

What does a taxonomy do?

In a taxonomy position, your daily responsibilities may include designing and maintaining classification systems, developing controlled vocabularies, and organizing digital content for optimal search and navigation. You'll collaborate with product managers, UX designers, content creators, and data specialists to ensure taxonomies meet business and user needs. Regular tasks often involve auditing existing taxonomies, mapping new data, and updating documentation to reflect changes. This role requires both independent analysis and cross-functional teamwork, making it dynamic and integral to improving information architecture within the organization.

What are the key skills and qualifications needed to thrive in the taxonomy position, and why are they important?

To succeed in a taxonomy role, strong analytical skills, attention to detail, and a background in information science, library science, or related fields are typically required. Familiarity with metadata standards, taxonomy management platforms (such as PoolParty or Synaptica), and experience with classification systems are important assets. Excellent collaboration, communication, and problem-solving abilities help taxonomy professionals work effectively with stakeholders from various departments. These skills are crucial for creating logical, user-friendly organizational structures that improve data discoverability and consistency across digital platforms.

What are the careers in taxonomy?

Careers in taxonomy include roles such as taxonomist, biological scientist, and data curator, focusing on classifying and organizing biological or information systems. These positions often require expertise in biology, ecology, or information management, and may involve fieldwork, research, or data analysis using specialized tools and software.

What are the most commonly searched types of Taxonomy jobs in Georgia?

The most popular types of Taxonomy jobs in Georgia are:

What are popular job titles related to Taxonomy jobs in Georgia?

For Taxonomy jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Taxonomy jobs in Georgia look for?

The top searched job categories for Taxonomy jobs in Georgia are:

What cities in Georgia are hiring for Taxonomy jobs?

Cities in Georgia with the most Taxonomy job openings:

Taxonomy jobs near you
Infographic showing various Taxonomy job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 4% Part Time, and 9% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $99,867 per year, or $48 per hour.

AI & Microsoft Fabric Engineer

2T Consulting

Scottdale, GA

Full-time

Posted 16 days ago

Job description

We are seeking an AI & Microsoft Fabric Engineer to design and develop enterprise AI solutions using Agentic AI, Generative AI, Azure OpenAI, RAG, and Microsoft Fabric. The role focuses on building AI agents, semantic data solutions, and scalable data pipelines to automate workflows and enable intelligent data-driven decisions.

Required Skills
  • Strong experience with Agentic AI, including AI agents, reasoning, planning, memory, tool/function calling, multi-agent orchestration, guardrails, and evaluation.
  • Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI orchestration frameworks.
  • Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
  • Strong Microsoft Fabric experience with:
    • Lakehouse, Warehouse, OneLake
    • Data Factory, Dataflows, Notebooks
    • Power BI semantic models, Direct Lake, Delta Lake
    • Medallion architecture
  • Experience with ontology and semantic modeling, including entities, relationships, taxonomy, metadata, lineage, semantic layers, knowledge graphs, RDF/OWL/SPARQL, or graph databases.
  • Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging, and cloud security.
Roles & Responsibilities
  • Design and implement enterprise-grade Agentic AI solutions using LLMs, RAG, APIs, and enterprise data sources.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, applications, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation frameworks.
  • Develop ontology-driven semantic models supporting business rules, metadata, governance, and data lineage.
  • Design and build Fabric data solutions using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
  • Implement AI governance practices including guardrails, access controls, monitoring, logging, security, and cost optimization.
  • Create technical designs, architecture diagrams, reusable components, and development standards.
  • Collaborate with business and technical teams to translate business processes into semantic data products and AI workflows.
Preferred Qualifications
  • Experience delivering production-grade GenAI and AI automation solutions.
  • Strong Azure cloud experience and enterprise data platform knowledge.
  • Experience with Agile development and production support.

Apply