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Generative Ai Engineer Internship Jobs in Raleigh, NC

IQVIA

Manager, AI Science & Solutions

Durham, NC · On-site

$111/hr

Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world ... Our team of AI scientists, consultants, and engineers works closely with customers to unlock ...

IQVIA LLC

Manager, AI Science & Solutions

Durham, NC · On-site

$120 - $230/hr

Would you be excited to apply cutting‑edge Generative AI technologies to solve complex ... Our team of AI scientists, consultants, and engineers works closely with customers to unlock ...

IQVIA, Inc.

Manager, AI Science & Solutions

Durham, NC · On-site

$111/hr

Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world ... Our team of AI scientists, consultants, and engineers works closely with customers to unlock ...

IQVIA

Manager, AI Science & Solutions

Durham, NC · On-site

$111/hr

Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world ... Our team of AI scientists, consultants, and engineers works closely with customers to unlock ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job Summary: We are seeking a Senior Machine Learning Engineer to help lead the design and ... Key Responsibilities: • Design, build, and deploy scalable machine learning and generative AI ...

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

Vadum, Inc.

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

Vadum Inc

AI Solutions Engineer

Raleigh, NC · On-site

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

Nvidia

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

Nvidia

Senior Applied AI Engineer

Durham, NC · On-site

$118K - $156K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

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Generative Ai Engineer Internship information

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How much do generative ai engineer internship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai engineer internship in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are the most commonly searched types of Generative Ai Engineer jobs in Raleigh, NC?

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Generative Ai Engineer Internship jobs near you

DevOps AI Cloud Engineer / Onsite in Raleigh, NC

Motion Recruitment Partners, LLC

Raleigh, NC • On-site

$51.25 - $70.25/hr

Other

Re-posted 5 days ago

Job description

This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock. The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.
This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization's cloud and AI strategy from the ground up. The engineer in this role will drive real innovation-building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience
  • 3-6+ years of experience in DevOps, Cloud Engineering, or similar
  • Strong experience with AWS cloud services
  • Infrastructure as Code expertise with Terraform
  • Experience with containerization (Docker) and orchestration via Kubernetes / EKS
  • CI/CD pipeline experience, preferably with Jenkins
  • Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
  • Experience working with or integrating Large Language Models (LLMs)
  • Ability to deploy, manage, and scale cloud-native systems
  • Strong understanding of system reliability, monitoring, and automation
  • Solid communication skills and ability to work in a collaborative team environment
Desired Skills & Experience
  • Experience building or contributing to MLOps platforms or AI infrastructure
  • Exposure to AI governance, compliance, or regulatory frameworks
  • Familiarity with Python or similar scripting languages for automation
  • Experience building or deploying AI agents or GenAI-based applications
  • Knowledge of security best practices in cloud and AI environments
  • Startup or early-stage team experience (comfort with ambiguity and rapid change)
What You Will Be Doing
Tech Breakdown
  • 60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
  • 40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)
Daily Responsibilities
  • 40% Designing and building scalable AI platform infrastructure
  • 30% Implementing and optimizing CI/CD pipelines and cloud environments
  • 20% Integrating and deploying AI/GenAI solutions and LLM-based applications
  • 10% Staying current with AI regulations, governance, and best practices
The Offer
  • 15% annual bonus
  • Hybrid work model (Raleigh - onsite 3 days/week)
  • Opportunity to join a growing AI-focused team at an early stage
  • Work on high-impact, cutting-edge AI and cloud initiatives

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