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Entry Level Manager Artificial Intelligence Jobs

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 years and is a recognized industry leader in delivering high quality relocation and assignment ...

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational ...

aires

Artificial Intelligence Engineer

Pittsburgh, PA

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 years and is a recognized industry leader in delivering high quality relocation and assignment ...

Talent Groups

Artificial Intelligence Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Develop and manage end-to-end MLOps/AIOps pipelines , automating model testing, deployment, monitoring, and lifecycle management. * Architect and maintain scalable data infrastructure and pipelines ...

New

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational ...

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Entry Level Manager Artificial Intelligence information

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How much do entry level manager artificial intelligence jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for entry level manager artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI strategy, developing complex models, and managing teams, with compensation reflecting the seniority and impact of the role.

How much does an entry-level AI product manager make?

An entry-level AI product manager typically earns between $70,000 and $90,000 annually, depending on the industry and location. Starting salaries may also include benefits such as bonuses and stock options, and familiarity with AI tools and project management skills can influence compensation.

What is the most entry-level AI job?

An entry-level AI job often refers to roles such as AI intern, data analyst, or junior machine learning engineer. These positions typically require foundational knowledge of programming, data analysis, and basic understanding of AI concepts, often supported by relevant certifications or coursework.

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

AspectEntry Level Manager Artificial IntelligenceData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related field; knowledge of AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI project management, team coordination, and AI solution deploymentUsed for data collection, interpretation, and reporting to inform business decisions

While both roles require analytical skills and a background in data or technology, Entry Level Manager Artificial Intelligence focuses on managing AI projects and teams, whereas Data Analysts primarily interpret data to support decision-making. The AI manager role emphasizes technical understanding of AI tools, while Data Analysts focus on data processing and visualization.

Can I get an AI job with no experience?

Entry level AI jobs often require some foundational knowledge of programming, data analysis, or machine learning, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of securing an entry-level AI position without prior experience.
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Entry Level Manager Artificial Intelligence jobs near you
Infographic showing various Entry Level Manager Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.
Associate Artificial Intelligence Engineer

Associate Artificial Intelligence Engineer

Park Place Technologies

Kansas City, KS • On-site

Full-time

Posted 6 days ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

91st of 204 rated it services

Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

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