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Network Engineer Apprenticeship Jobs in Raleigh, NC

RME Operator

Garner, NC · On-site

$19.75 - $25.50/hr

... Engineering (RME) teams are expanding with a new opportunity: RME Operator (RMEO). The RME Operator ... Apprenticeship (MRA) program. As automation continues to grow across our sites, technical roles ...

Network Engineer Apprenticeship information

See Raleigh, NC salary details

$30.1K

$106K

$153.6K

How much do network engineer apprenticeship jobs pay per year?

As of Sep 15, 2026, the average yearly pay for network engineer apprenticeship in Raleigh, NC is $105,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a network engineer apprenticeship?

A Network Engineer Apprenticeship is a structured training program that combines hands-on work experience with formal learning to develop skills in designing, implementing, and maintaining computer networks. Apprentices work under the guidance of experienced professionals while earning industry-recognized qualifications. This role involves troubleshooting network issues, configuring hardware and software, and ensuring secure and efficient communication systems. It's an ideal pathway for individuals looking to start a career in IT networking without a traditional degree.

What kind of mentorship or training can I expect during a network engineer apprenticeship?

As a Network Engineer Apprentice, you can expect structured mentorship from experienced network engineers as well as hands-on training with real-world network systems. Apprentices usually participate in team projects, shadow senior staff during troubleshooting, and gradually take on more responsibility as their skills develop. Many organizations provide a mix of classroom-based learning and practical, on-the-job assignments to ensure comprehensive skill development. This supportive environment helps new apprentices quickly build confidence and gain valuable industry experience.

What are the key skills and qualifications needed to thrive in a network engineer apprenticeship, and why are they important?

To thrive as a Network Engineer Apprentice, you need a foundational understanding of computer networking concepts, troubleshooting skills, and a relevant educational background such as a degree or coursework in IT or computer science. Familiarity with network devices (routers, switches, firewalls), command-line tools, and industry certifications like CompTIA Network+ or Cisco CCNA is highly beneficial. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies will help you stand out. These skills are crucial for supporting complex network environments, adapting to rapid changes, and working collaboratively within IT teams.

Are network engineers still in demand?

Network engineers are still in high demand due to ongoing growth in IT infrastructure, cybersecurity needs, and cloud computing. They are required to design, implement, and maintain network systems, often holding certifications like Cisco CCNA or CompTIA Network+ to stay competitive in the job market.

How to get into a network engineer apprenticeship with no experience?

To enter a network engineer apprenticeship with no experience, focus on gaining foundational knowledge through online courses or certifications like CompTIA Network+ and Cisco CCNA. Building basic skills in networking concepts, troubleshooting, and using tools such as Wireshark can improve your chances, and applying to programs that accept beginners or offer training is essential.
Infographic showing various Network Engineer Apprenticeship job openings in Raleigh, NC as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,995 per year, or $51 per hour.

Customer Experience Customer Success Specialist I (Full Time) United States

Durham, NC • On-site

Other

Posted 10 days ago


Job description

AI Security Specialist

We are a team dedicated to helping our customers navigate the constantly evolving world of AI security. We work together to ensure our clients optimally integrate Cisco AI Defense and our broader security suite into their operations. We grow with multi-functional collaboration—partnering with Sales, Product, Engineering, Marketing, and Operations to tackle real-world problems. We value input from every team member, and we look to you to help us present insights to leadership, refine our processes, and deliver high-impact projects that keep AI applications and autonomous agents secure.

In this role, you will play a pivotal part in ensuring our customers can confidently secure their AI infrastructure. You will:

  • Guide customers through the onboarding process, helping them get up and running with our AI security portfolio.
  • Translate technical details into clear business outcomes, showing customers exactly how our solutions protect their investments.
  • Champion the customer's perspective in our internal meetings, ensuring their feedback develop how we build and deliver our services.
  • Stay ahead of the curve by tracking shifts in the AI landscape and sharing those insights with the team.
  • Improve how we work by spotting process gaps and helping us build more efficient ways to support our customers.

Minimum Qualifications:

  • Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months): A Bachelor's degree with 0 years of work experience; or an educational or workforce development program (e.g., Associate's, Apprenticeship, Boot camp, or Certification) with 1 year of work experience; or High school diploma (or equivalent) with 2 years of work experience.
  • AI Knowledge: Hands-on familiarity with AI agents and Large Language Models (LLMs).
  • Security Foundation: A working understanding of cybersecurity principles.
  • Analytical Skills: Ability to grasp networking concepts and use data to solve problems.
  • Communication: Demonstrable ability to explain technical ideas clearly to both technical teams and business leaders.
  • Mindset: A proactive, self-starting approach and a genuine curiosity for AI innovation.

Preferred Qualifications:

  • Technical Depth: Knowledge of programming (e.g., Python, R, C++), API integrations, Model Context Protocol (MCP), application development, CI/CD pipelines, and networking.
  • Tooling: Experience with AI development tools like Claude Code, OpenClaw, Hermes Agent, OpenAI Codex, Cursor, or GitHub Copilot.
  • Certifications: AWS Certified AI Practitioner, CISSP, Security+, Network+, CCNA Automation, CCNA Security, or Cisco AITECH.