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Entry Level Artificial Intelligence Consultant Jobs

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who ... This role demands consultative skills, technical expertise, and the ability to identify impactful ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ...

Sogeti

Entry Level Technology Consultant

New York, NY · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Artificial Intelligence touches every part of our work, giving you the opportunity to learn and ...

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Entry Level Artificial Intelligence Consultant information

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How much do entry level artificial intelligence consultant jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level artificial intelligence consultant in the United States is $65,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What does an entry level artificial intelligence consultant do?

An Entry Level Artificial Intelligence (AI) Consultant helps organizations understand and implement AI technologies. They assist in analyzing data, identifying opportunities for automation, and supporting the design and deployment of AI solutions under the guidance of senior consultants. Their responsibilities often include researching AI trends, preparing reports, and working with clients to solve business challenges using machine learning and data analysis. This role serves as a starting point for a career in AI consulting, providing exposure to real-world projects and industry best practices.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence consultant?

To thrive as an Entry Level Artificial Intelligence Consultant, a solid background in computer science, mathematics, and data analysis—often supported by a relevant degree—is essential. Familiarity with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and data visualization tools is typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively help individuals excel in client-facing and team-driven environments. These competencies enable consultants to analyze data, develop AI solutions, and communicate technical insights clearly to clients, driving successful project outcomes.

What types of projects and tasks can an entry level artificial intelligence consultant expect to work on in their first year?

As an Entry Level Artificial Intelligence Consultant, you will typically work on a variety of projects such as developing machine learning models, assisting with data preprocessing, and supporting AI proof-of-concept initiatives for clients. You may also help with researching emerging AI technologies, preparing client presentations, and collaborating with senior consultants and data scientists. Early in your career, you’ll likely participate in team meetings, contribute to documentation, and gradually take on more responsibility as you gain experience and develop technical and consulting skills.

What is the difference between Entry Level Artificial Intelligence Consultant vs Data Analyst?

AspectEntry Level Artificial Intelligence ConsultantData Analyst
Required CredentialsBachelor's in CS, AI, or related field; some certifications (e.g., AI certifications)Bachelor's in Statistics, Data Science, or related field; certifications optional
Work EnvironmentTech companies, consulting firms, AI startupsBusiness, finance, healthcare, and retail sectors
Employer & Industry UsageOrganizations implementing AI solutions, machine learning projectsOrganizations analyzing data to inform decisions
Common Search & Comparison IntentUnderstanding entry-level roles in AI consultingComparing roles in data analysis and AI

Entry Level Artificial Intelligence Consultants focus on implementing AI solutions and machine learning models, often working with technical teams. Data Analysts interpret data to generate insights, typically using statistical tools. While both roles require analytical skills, AI consultants need knowledge of AI frameworks and programming, whereas Data Analysts focus more on data visualization and reporting.

Can I get an entry level artificial intelligence consultant job with no experience?

Entry level artificial intelligence consultant positions typically require some foundational knowledge of programming, data analysis, and machine learning concepts. While prior experience is often preferred, candidates with relevant skills, certifications, or strong educational backgrounds in related fields can sometimes qualify for entry-level roles without extensive experience.

How to get into entry level artificial intelligence consulting with no experience?

Entry level artificial intelligence consulting roles typically require foundational knowledge of programming, data analysis, and machine learning concepts. Gaining skills through online courses, certifications, and hands-on projects using tools like Python, TensorFlow, or scikit-learn can help build relevant experience. Internships or entry-level positions in data analysis or software development can also provide practical exposure to AI applications.
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Entry Level Artificial Intelligence Consultant jobs near you
Infographic showing various Entry Level Artificial Intelligence Consultant job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 63% Full Time, 17% Part Time, and 17% Contract. Highlights an 80% In-person, 6% Hybrid, and 14% Remote job distribution, with an average salary of $65,224 per year, or $31.4 per hour.

Entry Level Artificial intelligence security specialist

SynergisticIT

Dover, DE • On-site

Other

Re-posted 3 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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