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Entry Level Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

How much do entry level ai engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level ai engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions even without prior work experience.

What are the key skills and qualifications needed to thrive as an Entry Level AI Engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What is the most entry-level AI job?

An entry-level AI job typically includes roles such as AI intern, junior machine learning engineer, or data analyst with AI focus. These positions often require foundational knowledge of programming, basic understanding of machine learning concepts, and familiarity with tools like Python and TensorFlow or PyTorch.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What job makes $10,000 a month without a degree?

An entry-level AI engineer typically does not earn $10,000 a month without significant experience or advanced skills. High-paying roles in AI often require specialized knowledge, certifications, or a strong portfolio, and most entry-level positions pay less. Achieving such income usually involves gaining expertise, working in high-demand environments, or progressing into senior roles over time.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include compensation packages with base salary, bonuses, and stock options. Entry-level AI engineers generally do not earn such high salaries, which are reserved for senior or executive roles in the field.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.
What are the most commonly searched types of Ai Engineer jobs in Raleigh, NC? The most popular types of Ai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Ai Engineer jobs? Cities near Raleigh, NC with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $67,425 per year, or $32.4 per hour.
junior software programmer fullstack/Data Engineer - Remote

junior software programmer fullstack/Data Engineer - Remote

SynergisticIT

Chapel Hill, NC โ€ข On-site, Remote

$95K - $114K/yr

Other

Posted 4 days ago


Job description

Get Hired with a Process!

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” they're just being more selective. That means only the most prepared, polished, and employerโ€ready candidates get through. If you've sent out hundredsโ€”maybe thousandsโ€”of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solvesโ€”because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brandsโ€”think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Walmart Labs, Banking, Wayfair, and many moreโ€”often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real workโ€”clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.

What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request.

Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations:

  • You have skills, but your resume doesn't show impact and your projects look generic
  • You know tools, but you can't explain them confidently in interviews
  • You've learned from courses, but you lack real-world structure and job alignment
  • You've built a portfolio, but it doesn't match what hiring managers evaluate

SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).

You don't need more random applications. You need a job-ready plan. Start smarterโ€”start with the right support.