ZipRecruiter

Log In

2

Entry Level Artificial Intelligence Consultant Jobs

Milliman

Artificial Intelligence (AI) Engineer

Dallas, TX · On-site

$104K - $126K/yr

Work with domain-knowledge business experts, applied AI consultants, product owners, and ... Science, Artificial Intelligence, or a related quantitative field. * 1-3 years of relevant ...

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 ...

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy). * AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical ...

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

A sophisticated track record in high-performance fields (e.g., Finance, Consulting, Legal, or Strategy). * AI-Native Mastery: Demonstrated experience using AI tools and automation in a practical ...

System One

BI / AI Solutions Consultant

Tulsa, OK · Remote

$150K - $170K/yr

Not specified Overview System One has partnered with a growing healthcare resource company seeking an experienced business intelligence and artificial intelligence consultant to help take their ...

next page

Showing results 1-20

All JobsArtificial Intelligence Consultant JobsEntry Level Artificial Intelligence Consultant Jobs

Entry Level Artificial Intelligence Consultant information

See salary details

$31.5K

$65.2K

$116.5K

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

As of Jul 26, 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 are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence Consultant, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior data scientists, or specialized AI consultants with extensive experience and advanced skills. These positions often involve leadership, strategic decision-making, or cutting-edge research, and may require advanced certifications and a strong portfolio of successful projects.

How to get into AI Consulting with no experience?

Entry Level Artificial Intelligence Consultants can start by building foundational skills in programming languages like Python, understanding machine learning concepts, and gaining familiarity with AI tools such as TensorFlow or PyTorch. Pursuing online courses, certifications, and participating in projects or internships can help demonstrate competence and build a portfolio to enter the field without prior experience.

Can I get an AI job with no experience?

Entry level artificial intelligence consultant roles often require some foundational knowledge of programming, data analysis, and machine learning concepts. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, certifications, and building a portfolio of projects to demonstrate their skills.

What is the most entry-level AI job?

The most entry-level AI job is often an AI or machine learning intern or assistant role, which typically requires basic programming skills in Python or R and understanding of fundamental algorithms. These positions focus on supporting data collection, preprocessing, and model testing under supervision, providing foundational experience for a career in AI.

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.

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.
More about Entry Level Artificial Intelligence Consultant jobs
What cities are hiring for Entry Level Artificial Intelligence Consultant jobs? Cities with the most Entry Level Artificial Intelligence Consultant job openings:
What are the most commonly searched types of Artificial Intelligence Consultant jobs? The most popular types of Artificial Intelligence Consultant jobs are:
What states have the most Entry Level Artificial Intelligence Consultant jobs? States with the most job openings for Entry Level Artificial Intelligence Consultant jobs include:
What job categories do people searching Entry Level Artificial Intelligence Consultant jobs look for? The top searched job categories for Entry Level Artificial Intelligence Consultant jobs are:
Entry Level Artificial Intelligence Consultant jobs near you
Infographic showing various Entry Level Artificial Intelligence Consultant job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, 11% Part Time, and 56% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $65,224 per year, or $31.4 per hour.
Artificial Intelligence Consultant, DPS, Austin, Tx

Artificial Intelligence Consultant, DPS, Austin, Tx

Pedigo Staffing Services

Austin, TX • Hybrid

Per diem

Posted 3 days ago

Job description

Working Title: Artificial Intelligence Engineer  
Primary Work location: 5805 N Lamar Blvd, Austin, TX 78752
Agency: Texas Department of Public Safety 
Solicitation Reference Number: 40526R0024893    
Category: Applications/Software Development
Remote Policy: Must reside within 300 miles or 3-4 hours of work location.Required to go in office at least one (1) day a month as designated by DPS.
Hours: Monday through Friday from 8:00 AM through 5:00 PM, excluding State holidays when the agency is closed. Some nights and weekends as needed.  
Visa/Contracting Type: W-2 employment with benefits. Must be US Citizen, EAD, or Green Card Holder. No H1-B's, 1099's, or Corp-to-Corp.
Job Details: 
Required/Preferred Skills: 
  • 1 year - Required, Building and deploying components of the enterprise search tool.
  • 1 year - Required, Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.
  • 1 year - Required, Supporting implementation and testing of AI agents aligned to business unit needs.
  • 1 year - Required, Developing technical controls, documentation, and processes required for AI governance adoption
Texas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1, hereafter referred to as Candidate(s), who meets the general qualifications of Artificial Intelligence/Machine Learning Engineer 1, Applications/Software Development and the specifications outlined in this document for the Texas Department of Public Safety.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Public Safety  and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Public Safety will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Information Technology Division requests a short term staff augmentation to support critical artificial intelligence initiatives currently underway at the Texas Department of Public Safety (DPS). The requested AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery timelines for multiple enterprise level priorities.
    Services shall be provided during normal business hours unless otherwise coordinated through the Texas Department of Public Safety. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.
    The primary work location(s) will be at Hybrid / 5805 N. Lamar Blvd, Austin, Tx 78752. The working position is Hybrid - On Site and Telework. Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Department of Public Safety will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
    The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Department of Public Safety.
    DPS is simultaneously advancing four major objectives:
    • Implementing an enterprise search solution to improve information retrieval across DPS systems.
    • Deploying the AI inventory and monitoring system (Darwin).
    • Developing and operationalizing various AI agents to improve internal efficiency and public facing services.
    • Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.