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Generative Ai Certification Jobs in Raleigh, NC (NOW HIRING)

Deloitte

Oracle Tech Cloud Manager

Raleigh, NC · On-site

... Generative AI services * Leading cloud migration, application consolidation, and database ... certifications; and other business and organizational needs. The disclosed range estimate has not ...

Deloitte

Finance Analytics & AI Senior Consultant

Raleigh, NC · On-site

$113K/yr

Architect generative and agentic AI solutions across infrastructure, model, and application layers ... certifications; and other business and organizational needs. The disclosed range estimate has not ...

Deloitte

Deployment Success Manager

Raleigh, NC · On-site

... Generative AI, transformative technologies, and creative design. We can enhance customer ... certifications; and other business and organizational needs. The disclosed range estimate has not ...

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All JobsGenerative Ai Certification JobsGenerative Ai Certification Jobs in Raleigh, NC

Generative Ai Certification information

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How much do generative ai certification jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for generative ai certification in Raleigh, NC is $20.08, according to ZipRecruiter salary data. Most workers in this role earn between $13.32 and $25.96 per hour, depending on experience, location, and employer.

What is a generative AI certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are the key skills and qualifications needed to thrive as a generative AI specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What is the difference between Generative Ai Certification vs Data Scientist?

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

Is generative AI certification worth it?

Generative AI certification can enhance a job seeker's credentials by validating skills in AI model development, data handling, and relevant tools like Python or TensorFlow. It can improve employability in roles such as AI engineer or data scientist, especially as demand for AI expertise grows. However, practical experience and project work are also important factors in securing related positions.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, deep learning, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like technology, healthcare, and finance.

What are popular job titles related to Generative Ai Certification jobs in Raleigh, NC?

For Generative Ai Certification jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Generative Ai Certification jobs in Raleigh, NC look for?

The top searched job categories for Generative Ai Certification jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Generative Ai Certification jobs?

Cities near Raleigh, NC with the most Generative Ai Certification job openings:

Generative Ai Certification jobs near you
Infographic showing various Generative Ai Certification job openings in Raleigh, NC as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 11% Hybrid, and 7% Remote job distribution, with an average salary of $41,765 per year, or $20.1 per hour.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX Group plc

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Re-posted 21 days ago

Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***
Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?
Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.
Key Responsibilities:
  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
  • Strong prompt engineering and prompt testing skills to derive the desired outcome
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize and fine-tune RAG models for performance and scalability cost saving.
  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.
  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.
  • Write clean, efficient, and maintainable code in Python.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Troubleshoot and debug AI models and applications in a mono-repo settings.
  • Document AI models, processes, and workflows.

Qualifications:
  • Proven experience as an AI Engineer or similar role.
  • Strong proficiency in Python programming.
  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
  • Proven experience in prompt engineering
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Proficiency in data preprocessing and feature engineering techniques.
  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.
  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

Preferred Skills:
  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.
  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).
  • Knowledge of natural language processing (NLP) techniques.
  • Familiarity with version control systems (e.g., Git).
  • Experience with deploying AI models in production environments.

Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. #AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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