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Legal Knowledge Engineer Jobs in Columbia, SC (NOW HIRING)

City of Columbia

CITY PROSECUTOR

Columbia, SC · On-site

$88K - $113K/yr

Knowledge, Skills, and Abilities Knowledge of basic algebra involving variables and formulas, and ... professional, engineering, fiscal, legal, managerial or scientific nature and the ability for ...

Stantec

Bridge Design Manager

Columbia, SC · On-site

... legal and design requirements in South Carolina. * Knowledge of SCDOT displacement-based ... A Bachelor's degree in civil engineering or similar major is required. * A master's degree in the ...

City of Columbia, SC

CITY PROSECUTOR

Columbia, SC · On-site

$88K - $113K/yr

Knowledge of basic algebra involving variables and formulas, and/or computing discounts and ... professional, engineering, fiscal, legal, managerial or scientific nature and the ability for ...

Stantec

Bridge Design Manager

Columbia, SC · On-site

Mentor and monitor work by other bridge engineers. Provide design oversight and perform quality ... legal and design requirements in South Carolina. * Knowledge of SCDOT displacement-based ...

Hedrick Gardner

2027 Summer Law Clerk

Columbia, SC · On-site

Across our five offices, we combine knowledge and experience with the resources and insight to ... Conduct legal research and analysis on liability, coverage, and procedural issues * Draft memoranda ...

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Showing results 21-40

All JobsLegal Knowledge Engineer JobsLegal Knowledge Engineer Jobs in Columbia, SC

Legal Knowledge Engineer information

See Columbia, SC salary details

$17.1K

$45.3K

$73.5K

How much do legal knowledge engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for legal knowledge engineer in Columbia, SC is $45,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $51,000.00 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.

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.

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.

What are popular job titles related to Legal Knowledge Engineer jobs in Columbia, SC?

For Legal Knowledge Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Legal Knowledge Engineer jobs in Columbia, SC look for?

The top searched job categories for Legal Knowledge Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Legal Knowledge Engineer jobs?

Cities near Columbia, SC with the most Legal Knowledge Engineer job openings:

Legal Knowledge Engineer jobs near you
Infographic showing various Legal Knowledge Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $51,270 per year, or $24.6 per hour.

GenAI/ML Engineer | Generative AI (GenAI) Solutions Architect

MDAEdge

Columbia, SC • On-site

$58.25 - $76.75/hr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
MDAEdge is seeking an experienced Generative AI Solutions Architect to lead the design and implementation of cutting-edge GenAI solutions. The role involves defining the architecture, leading development efforts, and ensuring scalable, ethical deployment of AI systems.
Responsibilities:
• Define end-to-end GenAI architecture, including model selection, fine-tuning, retrieval-augmented generation (RAG), vector databases, and prompt engineering pipelines.
• Design and deploy scalable software applications to support Generative AI initiatives.
• Build Minimum Viable Products (MVPs) for rapid iteration in dynamic environments.
• Hands-on model deployment from development to production, with troubleshooting and optimization.
• Collaborate with Data Scientists, MLOps, and Cloud Architects to ensure robust, compliant AI systems.
• Lead a small squad of engineers, providing technical guidance and fostering a high-performance culture.
• Mentor engineers of all levels and drive best practices in AI/ML development.
• Partner with Product, Legal, and Leadership to align AI solutions with ethical, regulatory, and business goals.
• Proactively resolve complex technical challenges across the AI/ML stack.
• Translate technical concepts for executives, engineers, and cross-functional teams.
Qualifications:
Required:
• Proven experience in GenAI architecture (RAG, vector stores, prompt engineering).
• Hands-on ML engineering skills: model training, deployment, and production troubleshooting.
• Expertise in Python and modern software development practices.
• Track record of delivering MVPs and scalable AI solutions.
• Strong leadership: ability to mentor engineers and lead technical teams.
Preferred:
• Familiarity with LLM fine-tuning (e.g., GPT, Llama, Claude).
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps tools.
• Knowledge of AI ethics, compliance, and governance.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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