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Intellectual Property Ai Jobs in Raleigh, NC (NOW HIRING)

RELX

Responsible AI Governance Specialist

Raleigh, NC

$15.75 - $21/hr

Respect privacy, protect intellectual property, and champion robust data governance. Key Responsibilities * Partner with team leads to document AI systems, use cases, risks, controls, ownership ...

Jaggaer

Architect, AI & Agentic Platforms

Durham, NC · On-site +1

... AI platform. This is a strategic and deeply technical leadership role that sits under the central ... Our products are built on intellectual property, but the real differentiator is the teams behind ...

Jaggaer

Architect, AI & Agentic Platforms

Durham, NC · On-site

Architect the next-gen AI/Agentic platform that powers autonomous procurement and supply chain ... Our products are built on intellectual property, but the real differentiator is the teams behind ...

Mcguirewoods

Patent Agent

Raleigh, NC · On-site

$125 - $150/hr

... intellectual property law firm. * Must be registered to practice before the U.S. Patent and ... Interest in using innovative AI technology, including Harvey and Copilot, to support efficient high ...

OUP

Market Development Lead

Cary, NC · On-site

$150 - $200/hr

... of intellectual property. The role will play a critical part in building OUP's position as a strategic partner to AI developers, technology companies, and enterprise organizations. Key ...

McGuireWoods LLP

Patent Agent

Raleigh, NC · Hybrid

... intellectual property law firm. * Must be registered to practice before the U.S. Patent and ... Interest in using innovative AI technology, including Harvey and Copilot, to support efficient high ...

McGuireWoods LLP

Patent Agent

Raleigh, NC · On-site

$156K - $197K/yr

... intellectual property law firm. * Must be registered to practice before the U.S. Patent and ... Interest in using innovative AI technology, including Harvey and Copilot, to support efficient high ...

McGuireWoods LLP

Patent Agent

Raleigh, NC · Hybrid

... intellectual property law firm. * Must be registered to practice before the U.S. Patent and ... Interest in using innovative AI technology, including Harvey and Copilot, to support efficient high ...

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Intellectual Property Ai information

See Raleigh, NC salary details

$50.1K

$116.5K

$192.5K

How much do intellectual property ai jobs pay per year?

As of Sep 8, 2026, the average yearly pay for intellectual property ai in Raleigh, NC is $116,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $136,100.00 per year, depending on experience, location, and employer.

What is an intellectual property AI specialist?

An Intellectual Property (IP) AI specialist is a professional who leverages artificial intelligence technologies to assist in managing, protecting, and analyzing intellectual property assets such as patents, trademarks, and copyrights. They use AI tools to automate tasks like patent searches, infringement detection, and portfolio management, making IP processes more efficient and accurate. These specialists often work with legal teams, inventors, and businesses to optimize the value and security of their IP using advanced data analytics and machine learning.

How does an intellectual property AI specialist typically collaborate with legal and technical teams?

An Intellectual Property AI specialist often works closely with both legal and technical teams to develop, implement, and refine AI solutions that support IP management and protection. They translate legal requirements into technical specifications, assist in the automation of patent searches, and help create tools for monitoring potential IP infringements. Regular cross-functional meetings and clear communication are essential, as the specialist must ensure that AI-driven solutions align with legal standards while also being technically robust. This collaborative environment fosters learning and innovation, making it a dynamic role for those interested in both law and technology.

What are the key skills and qualifications needed to thrive as an intellectual property AI specialist, and why are they important?

To thrive as an Intellectual Property AI Analyst, you need expertise in patent law, intellectual property rights, and an understanding of artificial intelligence technologies, often supported by a technical degree and legal credentials. Familiarity with IP management systems, patent databases, AI research tools, and potentially certifications like Certified Patent Analyst are important. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying findings to stakeholders. These skills ensure accurate IP analysis, safeguard innovation, and support strategic business and legal decisions in the rapidly evolving AI sector.

What is the role of AI in intellectual property?

In the field of intellectual property, AI is used to automate patent and trademark searches, assist in patent drafting, and analyze large datasets for infringement detection. Intellectual property professionals often utilize machine learning tools and data analysis skills to improve efficiency and accuracy in managing IP assets.

What are popular job titles related to Intellectual Property Ai jobs in Raleigh, NC?

For Intellectual Property Ai jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Intellectual Property Ai jobs in Raleigh, NC look for?

The top searched job categories for Intellectual Property Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Intellectual Property Ai jobs?

Cities near Raleigh, NC with the most Intellectual Property Ai job openings:

Intellectual Property Ai jobs near you
Infographic showing various Intellectual Property Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $116,530 per year, or $56 per hour.

Responsible AI Governance Specialist

RELX Group plc

Raleigh, NC • On-site

$15.75 - $21/hr

Full-time

Re-posted 9 days ago

Job description

Responsible AI Principles Alignment
The Responsible AI Governance Specialist will help ensure Responsible AI principles are understood, internalized, and consistently applied across teams involved in AI design, development, deployment, monitoring, and governance. This includes supporting practical alignment to five core principles:
  • Evaluate the real-world impact of AI solutions on people.
  • Prevent the creation or reinforcement of unfair bias.
  • Support transparency and explainability in how AI solutions work.
  • Promote accountability through meaningful human oversight.
  • Respect privacy, protect intellectual property, and champion robust data governance.

Key Responsibilities
  • Partner with team leads to document AI systems, use cases, risks, controls, ownership, approvals, and governance processes.
  • Maintain the AI use case inventory and related lifecycle documentation, ensuring records are complete, current, traceable, verifiable, and accessible.
  • Compile and maintain model cards or technical documentation packages using existing design documents, architecture records, evaluation reports, release documentation, testing evidence, and approval records.
  • Coordinate AI risk intake and tiering processes, ensuring required documentation, evidence, approvals, and escalation paths are captured.
  • Produce governance reports with clear lineage from AI use cases, system documentation, risk assessments, control evidence, owner approvals, release decisions, and audit responses.
  • Maintain evidence packages for AI labeling and user disclosure, including screenshots, user interface examples, and documentation showing where AI-generated content is disclosed to users.
  • Document human intervention and feedback mechanisms, including user feedback loops, revision workflows, and how feedback is used to improve model or product quality.
  • Document explainability and transparency practices, including Agentic AI and RAG architecture, Agentic RAG workflows, source citations, Shepard's® validation, reasoning workflows, and grounding in trusted legal content.
  • Track governance, testing, and quality assurance evidence, including offline evaluations, human evaluations, DDE quality ratings, regression testing results, release gates, production monitoring, and operational dashboard evidence.
  • Support quarterly reviews and audits of AI systems and models to identify documentation gaps, control gaps, emerging risks, and required remediation actions.
  • Drive follow-up across distributed teams to ensure governance records, control evidence, and remediation items remain complete, accurate, and current.
  • Coordinate responses to AI governance, transparency, audit, legal, compliance, and risk management requests.
  • Support the development, implementation, and continuous improvement of responsible AI and model risk policies, standards, procedures, and operating practices.
  • Translate policy, regulatory, and governance requirements into practical operating processes that can be adopted by technical and business teams.
  • Identify documentation gaps, ownership gaps, process risks, model risk concerns, and control weaknesses related to AI governance.
  • Evaluate and apply tools that improve AI inventory management, governance documentation, model/system traceability, control evidence collection, risk tracking, and regulatory reporting.
  • Stay current with emerging AI technologies, industry trends, responsible AI practices, global regulatory changes, model risk management expectations, and industry standards.
  • Partner with Legal, Compliance, and Risk teams to translate applicable requirements into practical governance processes, documentation expectations, and evidence standards.
  • Translate technical AI and machine learning details into clear governance documentation for non-technical, compliance, legal, audit, and executive audiences.

Required Qualifications
  • 2+ years of hands-on experience building, evaluating, deploying, governing, or supporting large-scale AI, machine learning, or data science systems.
  • Applied experience with AI/ML concepts, data science workflows, software delivery processes, and governance controls.
  • Strong understanding of AI governance concepts and risk domains, including bias, fairness, explainability, privacy, security, transparency, and accountability.
  • Familiarity with AI risk and governance frameworks, such as the NIST AI Risk Management Framework, responsible AI principles, model risk management practices, or similar frameworks.
  • Knowledge of data privacy and regulatory requirements, including CCPA, GDPR, emerging AI regulations, and related compliance expectations.
  • Ability to produce traceable and verifiable governance reports supported by clear evidence, ownership, approvals, and documentation.
  • Ability to translate policy, regulatory, and risk requirements into operational processes, documentation standards, controls, and review workflows.
  • Excellent written communication skills, with the ability to create clear, structured, and audit-ready documentation.
  • Strong analytical and problem-solving skills, with the ability to assess risks, identify gaps, and recommend practical improvements.
  • Strong stakeholder management skills and the ability to drive cross-functional collaboration across technical and non-technical teams.
  • Ability to influence without direct authority and drive accountability across distributed teams.
  • Ability to use and stay current with the latest AI technologies, governance tools, regulatory developments, and industry practices.

Preferred Qualifications
  • Experience supporting AI governance, responsible AI, technology risk, model governance, compliance, audit, or related functions.
  • Experience coordinating cross-functional documentation, control evidence, compliance requests, model reviews, or audit responses.
  • Experience working with data science, machine learning, software engineering, product, legal, compliance, risk, or audit teams.
  • Experience maintaining AI use case inventories, model inventories, governance repositories, process records, or audit evidence.
  • Experience supporting model risk reviews, AI risk tiering, policy implementation, control testing, or remediation tracking.
  • Experience supporting AI product release processes, including testing evidence, evaluation results, quality gates, release approvals, and production monitoring.
  • Familiarity with responsible AI documentation, model cards, AI transparency documentation, release governance, model evaluation records, and AI system monitoring evidence.
  • Prior experience in a regulated environment or enterprise technology organization.

Education
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, Business, Risk Management, Legal Studies, Public Policy, or a related field.
  • Advanced degree or relevant certifications in AI governance, risk management, compliance, data privacy, machine learning, technology management, or related areas preferred.
  • #AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Ohio, the base pay range is $99,700 - $166,000.This job is eligible for an annual incentive bonus.
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