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

Siemens

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

... generative AI and intelligent automation, and drive measurable improvements in productivity and ... Cloud or AI certifications (e.g., AWS, Azure, or Google Cloud architecture or AI/ML certifications)

GEI Consultants

AI Engineer

Cary, NC · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

GEI Consultants

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

Hunter Super Techs - TurnPoint

AI Engineer I

Durham, NC · On-site

$80 - $100/hr

No generative AI experience is required. If you are an early-career software developer, an ... You will have a named mentor, a certification budget, and real ownership of what you ship. Our ...

Victra

AI Engineer I

Durham, NC · On-site

No generative AI experience is required. If you are an early-career software developer, an ... You will have a named mentor, a certification budget, and real ownership of what you ship. Our ...

Peter Millar LLC

Sr. AI Engineer

Durham, NC · On-site

$150 - $200/hr

DESIRED EDUCATION AND EXPERIENCE * 5+ years in ML/AI engineering, with production generative-AI ... certifications a plus. If you like wild growth and working with happy, enthusiastic ...

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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.

AI Prompt Engineer - Raleigh, Nc

Motion Recruitment

Raleigh, NC • On-site

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Job Description

An enterprise cybersecurity group in Raleigh is seeking an AI Prompt Engineer to help expand an emerging security program centered around generative AI. The organization is evaluating advanced AI models from a security perspective and developing new ways to use generative models as part of automated security assessment, application testing, and vulnerability research.

This engineer will create sophisticated prompt-based testing workflows designed to make AI models perform targeted cyber analysis. Rather than focusing on basic chatbot prompting, the position involves developing reusable AI harnesses capable of providing the model with the proper context, instructions, and testing logic for activities including static and dynamic security testing, network exposure analysis, penetration-testing scenarios, port discovery, and certificate abuse detection.

Required Skills & Experience

  • Hands-on background designing sophisticated prompt strategies for generative AI

  • Practical cybersecurity knowledge, including attack surfaces, vulnerabilities, malicious behavior, and network traffic concepts

  • Software engineering or application development experience in languages such as Python, Go, C#, .NET, or similar

  • Ability to construct multi-step or context-rich LLM workflows rather than simple single prompts

  • Familiarity with one or more modern generative AI/model platforms

  • Experience storing, querying, or manipulating data using PostgreSQL, Elasticsearch, Cloud SQL, or related databases

  • Strong ability to explain previous AI projects, experimentation methods, and technical design decisions

Desired Skills & Experience

  • Exposure to application security and automated code-security testing

  • Background in offensive security, penetration testing, or vulnerability research

  • Familiarity with containerized or cloud-hosted applications

  • Experience with GKE or Kubernetes

  • Previous work evaluating the behavior or security of large language models

  • Experience operating in a research-oriented engineering environment

What You Will Be Doing

Daily Responsibilities

  • Engineer reusable prompt workflows that support AI-assisted security assessments

  • Create testing scenarios that push models to investigate applications, infrastructure, and potential attack surfaces

  • Develop prompting approaches for static and dynamic application-security analysis

  • Evaluate network, port, perimeter, and certificate-related security scenarios through GenAI workflows

  • Run experiments against different model providers and compare model behavior and effectiveness

  • Continuously adjust instructions, context, and harness logic based on testing results

  • Coordinate with data engineers so security output can be normalized, persisted, and analyzed downstream

  • Share actionable AI-discovered issues with threat-hunting and security-response teams

The Offer

  • Contract opportunity

  • Competitive hourly compensation

You will receive the following benefits:

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply