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Entry Level Ai Engineer Jobs in Utah (NOW HIRING)

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of ...

... with engineers on process improvements and utilizing AI-driven automation to streamline ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

Driller Assistant/Exploration Team Member I

Midvale, UT · On-site

$21.75 - $29.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... This is an entry level position. No experience is required. * The employee will be expected perform ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

  • Retirement

AI-guided design of therapeutic microproteins If you are excited by the idea of treating ... programmable therapeutic modules and want to work at the intersection of mitochondrial biology ...

Post Doc Res Assoc

Salt Lake City, UT

$65K - $73K/yr

  • Retirement

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ...

Showing results 21-28

Entry Level Ai Engineer information

See Utah salary details

$27.3K

$63.1K

$107.4K

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

As of Aug 15, 2026, the average yearly pay for entry level ai engineer in Utah is $63,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $71,500.00 per year, depending on experience, location, and employer.

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.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this 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 Utah?

The most popular types of Ai Engineer jobs in Utah are:

What cities in Utah are hiring for Entry Level Ai Engineer jobs?

Cities in Utah with the most Entry Level Ai Engineer job openings:

Infographic showing various Entry Level Ai Engineer job openings in Utah as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,145 per year, or $30.4 per hour.

Associate Deploy Consultant

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 20 days ago


Job description

Associate Deploy Consultant

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Associate Deploy Consultant, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Help deploy AI Cloud Employees for customers, supporting the process from kickoff through go-live alongside senior team members.
  • Join client calls to scope requirements, align stakeholders, and translate business needs into AI workflows, including prompt design, automations, and QA checks.
  • Troubleshoot deployment issues with support from the team. Identify blockers, work through fixes, and help keep projects on track.
  • Document deployment processes, build reusable templates, and contribute to consulting playbooks.
  • Share product feedback with Engineering and Product teams, including deployment friction, feature gaps, and customer requests.

WHO YOU ARE

  • Recent graduate (or soon to be) in Business, Information Systems, Management Consulting, Communications, or a related field. Equivalent experience is also welcome.
  • Client-oriented and a quick learner. You enjoy solving problems for people and feel comfortable picking up new tools on the fly.
  • Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of what they can do in a real work context.
  • A strong communicator who can guide clients through technical processes with patience and clarity, even when things get complex.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary