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Legal Knowledge Engineer Jobs in Georgia (NOW HIRING)

COASTAL ECOLOGY GROUP

Roadway Engineer (PE)

Atlanta, GA

$100K - $120K/yr

Knowledge of Department of Transportation systems, policies, and procedures. * Knowledge of ... Legal Plan * Lifestyle Coaching * Employee Assistance Program * Tuition Reimbursement Employment ...

AppleOne

Sr. Certification Engineer

Atlanta, GA

$61.55/hr

Preferred: 7. Knowledge of aircraft interiors. 8. Experience as a certification engineer, design ... legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for ...

Northern Base

AI and Fabric Engineer

Atlanta, GA · On-site

$110K - $130K/yr

... knowledge graphs, RDF/OWL/SPARQL or graph databases. * Engineering: Python, SQL, Spark/PySpark ... Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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Showing results 41-60

All JobsLegal Knowledge Engineer JobsLegal Knowledge Engineer Jobs in Georgia

Legal Knowledge Engineer information

See Georgia salary details

$17.7K

$46.8K

$76K

How much do legal knowledge engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for legal knowledge engineer in Georgia is $46,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $52,800.00 per year, depending on experience, location, and employer.

What is a legal knowledge engineer?

A Legal Knowledge Engineer is a professional who combines expertise in law with skills in technology and knowledge management. They design, develop, and maintain systems that organize and automate legal information, processes, or workflows. Legal Knowledge Engineers often work with legal tech tools, document automation, and artificial intelligence solutions to improve efficiency in legal services. Their role bridges the gap between legal professionals and IT teams, ensuring that technology solutions meet the specific needs of legal practice.

What are the key skills and qualifications needed to thrive as a legal knowledge engineer, and why are they important?

To thrive as a Legal Knowledge Engineer, you need a strong background in law, analytical thinking, and familiarity with knowledge management principles, often backed by a law degree or relevant legal qualifications. Proficiency with legal tech tools such as document automation platforms, AI-driven legal research systems, and contract management software is typically required. Excellent communication, attention to detail, and collaborative skills help bridge technical and legal teams effectively. These capabilities ensure efficient development and implementation of legal technology solutions that enhance accuracy and productivity within legal organizations.

What is the difference between Legal Knowledge Engineer vs Legal Data Analyst?

AspectLegal Knowledge EngineerLegal Data Analyst
Required credentialsLegal degree, knowledge engineering skillsLegal degree, data analysis skills
Work environmentAI development teams, legal tech companiesLaw firms, legal departments, data teams
Industry usageLegal tech, AI, knowledge managementLegal research, data reporting, insights

The Legal Knowledge Engineer focuses on developing and maintaining legal knowledge bases and AI systems, requiring expertise in legal concepts and knowledge engineering. In contrast, the Legal Data Analyst primarily interprets legal data to generate insights, emphasizing data analysis skills. Both roles are vital in legal tech but serve different functions within legal organizations.

How does a legal knowledge engineer typically collaborate with legal and IT teams to develop effective knowledge management solutions?

Legal Knowledge Engineers play a crucial role in bridging the gap between legal professionals and IT specialists. They work closely with lawyers to understand complex legal processes and translate these into structured data or digital workflows. Regular collaboration involves gathering requirements, mapping legal processes, and testing knowledge management tools to ensure accuracy and usability. This cross-functional teamwork ensures that the solutions developed are both technically sound and legally compliant, fostering a collaborative and innovative work environment.
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What cities in Georgia are hiring for Legal Knowledge Engineer jobs? Cities in Georgia with the most Legal Knowledge Engineer job openings:
Legal Knowledge Engineer jobs near you
Infographic showing various Legal Knowledge Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $46,795 per year, or $22.5 per hour.

AI and Fabric Engineer

Tata Consultancy Service Limited

Atlanta, GA • On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Must Have Technical/Functional Skills
  • Agentic AI: AI agents, planning, reasoning, memory, tool/function calling, multi-agent orchestration,
  • guardrails, and agent evaluation.
  • Frameworks: LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent
  • orchestration frameworks.
  • LLM / GenAI: Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search,
  • prompt engineering, grounding, and hallucination mitigation.
  • Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory, Dataflows, Notebooks,
  • Power BI semantic models, Direct Lake, Delta Lake, and medallion architecture.
  • Ontology / Semantic Modeling: business entities, relationships, hierarchies, taxonomy,
  • metadata, lineage, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases.
  • Engineering: Python, SQL, Spark/PySpark, REST APIs, CI/CD, Git, monitoring, logging,
  • cloud security, and production support.
  • Functional: ability to translate business processes into ontology models, semantic
  • data products, and agent workflows

Roles & Responsibilities
  • Design and implement enterprise-grade agentic AI solutions that retrieve information,
  • call tools/APIs, reason over data, and automate workflows.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models,
  • APIs, enterprise systems, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured
  • data grounding, and evaluation datasets.
  • Design ontology-driven semantic models covering entities, relationships, metadata,
  • business rules, lineage, and governance.
  • Develop Fabric data pipelines using Data Factory, Notebooks, Spark/PySpark, SQL,
  • Delta Lake, and medallion architecture.
  • Implement AI guardrails, access control, logging, monitoring, cost optimization, and
  • responsible AI practices.
  • Create technical designs, architecture diagrams, reusable components, coding standards etc.

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$110,000-$130,000 a year

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