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Legal Knowledge Engineer Jobs in Nevada (NOW HIRING)

Work closely with Security, Engineering, Legal, Compliance, Risk, and Product teams to align AI ... Working knowledge of MCP server security and secure tool-integration patterns, including identity ...

EHS Engineer

Las Vegas, NV · On-site

$95K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Monitor local, state, and federal EHS regulations to ensure policies reflect legal and best ... Knowledge of federal, state and local EHS regulations. * Ability to perform risk assessments.

EHS Engineer

Las Vegas, NV · On-site

$95K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Monitor local, state, and federal EHS regulations to ensure policies reflect legal and best ... Knowledge of federal, state and local EHS regulations. * Ability to perform risk assessments.

Work closely with Security, Engineering, Legal, Compliance, Risk, and Product teams to align AI ... Working knowledge of MCP server security and secure tool-integration patterns, including identity ...

Work closely with Security, Engineering, Legal, Compliance, Risk, and Product teams to align AI ... Working knowledge of MCP server security and secure tool-integration patterns, including identity ...

Software Engineer (Front-End)

Las Vegas, NV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior engineers through code reviews, pairing sessions, and knowledge sharing to cultivate ... Other Insurance Options, such as Pet & Legal Insurance * Various Supplementary Health Benefits ...

Quality Control Engineer II

Sparks, NV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have working-level knowledge of the English language, including reading, writing, and speaking ... Voluntary Benefits - Life, accident, critical illness, disability, legal, identity theft, and pet ...

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... resources, legal, IT, information security, facilities, marketing, and communications ... Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense ...

Software Engineer, AI-Native

Las Vegas, NV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining ... Working knowledge of React or Angular for front-end development * Experience with Git-based source ...

Software Engineer, AI-Native

Las Vegas, NV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining ... Working knowledge of React or Angular for front-end development * Experience with Git-based source ...

Quality Engineer, AI-Native

Las Vegas, NV · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining ... Working knowledge of C# / .NET applications as the system under test; ability to read C# code to ...

Showing results 41-60

Legal Knowledge Engineer information

See Nevada salary details

$21.4K

$56.4K

$91.6K

How much do legal knowledge engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for legal knowledge engineer in Nevada is $56,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $63,600.00 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 Nevada?

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

What job categories do people searching Legal Knowledge Engineer jobs in Nevada look for?

The top searched job categories for Legal Knowledge Engineer jobs in Nevada are:

What cities in Nevada are hiring for Legal Knowledge Engineer jobs?

Cities in Nevada with the most Legal Knowledge Engineer job openings:

Lead AI Security Engineer

Credit One Bank

Las Vegas, NV • On-site

Other

Re-posted yesterday


Job description

Description
Position Summary
We are seeking an experienced AI Security Engineer to lead the design, implementation, and operationalization of security controls for our LLM-powered applications, AI platforms, and model-hosting infrastructure. This role will focus on protecting AI systems from prompt injection, sensitive data leakage, insecure tool use, model abuse, and cloud/infrastructure threats, while helping establish secure engineering patterns for the next generation of AI-enabled products. The role sits at the intersection of Application Security, Cloud Security, and AI Platform Engineering.
The ideal candidate combines offensive and defensive security expertise with strong experience in secure system design, cloud infrastructure, CI/CD, containers, and modern software delivery pipelines. You will help define and execute new AI security initiatives across the enterprise, especially in a regulated financial services environment where confidentiality, resilience, governance, and auditability are critical. Sector-specific AI governance and risk management expectations are increasingly being formalized through frameworks such as the NIST AI RMF.
Essential Job Functions
  • Lead security initiatives for LLM-powered applications, copilots, agentic systems, and AI-assisted workflows.
  • Design and implement controls to reduce the risks of prompt injection, sensitive information disclosure / data leakage, improper output handling, excessive agent autonomy, model and AI supply chain risk, vector / embedding and retrieval-related weaknesses.
  • Partner with engineering teams to embed secure-by-design patterns into AI application development, deployment, and operations.
  • Create guardrails for AI systems that process customers, employees, and regulate financial data.
  • Architect and implement AI gateway controls that centralize security policy enforcement for model traffic, including prompt inspection, response filtering, PII/secret redaction, model access control, rate limiting / abuse prevention, audit logging and evidence generation.
  • Define runtime security policies for AI interactions across internal applications, APIs, tools, and model providers.
  • Build detection and response capabilities for malicious prompts, unsafe model behavior, and data exfiltration attempts.
  • Secure systems built on the Model Context Protocol (MCP) and related AI tool-integration patterns.
  • Define security requirements for MCP servers, proxy servers, and tool connectors, including authentication and authorization, least privilege, schema/input validation, secrets management, network isolation, sandboxing, logging and auditability, third-party server risk review.
  • Assess and mitigate risks associated with MCP architecture, including authorization flaws, confused-deputy scenarios, and unsafe execution paths.
  • Partner with Cloud Security, Platform Engineering, and DevOps to implement hardening, segmentation, identity controls, observability, and incident response readiness.
  • Work closely with Security, Engineering, Legal, Compliance, Risk, and Product teams to align AI security controls with regulatory and internal risk expectations.
  • Help define AI security standards, reference architectures, guardrails, and review processes appropriate for a financial industry environment.

Position Requirements
  • 5+ years of experience in cybersecurity with a strong mix of offensive and defensive security tactics.
  • Deep familiarity with the OWASP Top 10 for LLM Applications
  • Hands-on experience with Docker, Kubernetes, and Cloud Security (AWS/Azure/Google Cloud Platform).
  • Experience designing and securing AI gateways, API proxies, or centralized policy enforcement layers for AI workloads.
  • Working knowledge of MCP server security and secure tool-integration patterns, including identity, authorization, validation, proxy risks, and logging.
  • Strong communication skills with the ability to work across Application Security, Cloud Infrastructure, Platform Engineering, and Product Engineering teams.
  • Familiarity with AI red teaming methodologies and adversarial testing for LLM applications.
  • Ability to translate complex AI risks into actionable technical requirements for developers and executive stakeholders.
  • Familiarity with regulatory frameworks (e.g., NIST AI RMF, ISO/IEC 42001)

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.