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Computer Science Artificial Intelligence Jobs in Utah

Varsity Tutors

College Computer Science Tutor

Provo, UT · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Logan, UT · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Pwc

ERP AI Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

... Computer Science, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Software Engineering preferred - Experience with LLMs, prompt engineering, and orchestration tools ...

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All JobsComputer Science Artificial Intelligence JobsComputer Science Artificial Intelligence Jobs in Utah

Computer Science Artificial Intelligence information

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$46K

$101.4K

$125.2K

How much do computer science artificial intelligence jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer science artificial intelligence in Utah is $101,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $124,700.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

In the field of computer science and artificial intelligence, roles such as AI ethicists, AI system trainers, and cybersecurity specialists are expected to persist as AI advances. These jobs require human judgment, oversight, and specialized skills that are difficult to automate fully.

What does a typical day look like for someone working in Computer Science Artificial Intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in the Computer Science Artificial Intelligence position, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What can you do with a computer science degree in AI?

A computer science degree in AI prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, or research scientist. These roles involve developing algorithms, building intelligent systems, and working with tools like Python, TensorFlow, and neural networks to solve complex problems across industries like healthcare, finance, and technology.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning executives, or specialized data scientists, often in large tech companies or startups. These roles usually require advanced skills in deep learning, programming, and data analysis, along with significant experience and sometimes leadership responsibilities.

What is the salary of CS in AI?

The salary for a Computer Science professional specializing in Artificial Intelligence typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI engineers with advanced skills in machine learning and deep learning can earn higher salaries, especially in tech hubs.

What is a Computer Science Artificial Intelligence job?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What are popular job titles related to Computer Science Artificial Intelligence jobs in Utah? For Computer Science Artificial Intelligence jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Computer Science Artificial Intelligence jobs in Utah look for? The top searched job categories for Computer Science Artificial Intelligence jobs in Utah are:
Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in Utah as of June 2026, with employment types broken down into 25% Internship, 63% Full Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,363 per year, or $48.7 per hour.
Data Scientist (Artificial Intelligence/Machine Learning)

Data Scientist (Artificial Intelligence/Machine Learning)

U.S. Department of Defense (DOD)

Hill Air Force Base, UT

$125K/yr

Other

Posted 8 days ago

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 519 frontline employees who took The Breakroom Quiz

26th of 46 rated military and defense

Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER

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