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Entry Level Ai Engineer Jobs in Arizona (NOW HIRING)

SynergisticIT

Junior Java Developer

Peoria, AZ · On-site

We are continuously looking for entry-level software programmers, Java full stack developers ... For data science/data analyst/data engineer/AI/machine learning positions preferred skills include ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... 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 Arizona salary details

$28K

$64.6K

$110K

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

As of Jul 27, 2026, the average yearly pay for entry level ai engineer in Arizona is $64,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,200.00 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. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional 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 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 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 found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

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 engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
What are the most commonly searched types of Ai Engineer jobs in Arizona? The most popular types of Ai Engineer jobs in Arizona are:
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What cities in Arizona are hiring for Entry Level Ai Engineer jobs? Cities in Arizona with the most Entry Level Ai Engineer job openings:
Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $64,638 per year, or $31.1 per hour.
entry level Java Developer/Data engineer

entry level Java Developer/Data engineer

SynergisticIT

Tempe, AZ • On-site

$49.75 - $64.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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 they're just being more selective. That means only the most prepared, polished, and employer?ready candidates get through. If you've sent out hundredsmaybe thousandsof 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 solvesbecause 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 brandsthink Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Walmart Labs, Banking, Wayfair, and many moreoften 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 workclean 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).

If you want to explore here are the key links:

  • Event videos (OCW, JavaOne, Gartner)
  • USA Today feature
  • Contact Us (Fill the Form): https://www.synergisticit.com/contact-us/

You don't need more random applications. You need a job-ready plan. Start smarterstart with the right support.

Apply