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Artificial Intelligence Systems Management Jobs

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Experience with source control tools (e.g., Git) and project management systems. * Familiarity with ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the ... Build predictive models optimization algorithms or forecasting systems as needed. * Analyze large ...

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Artificial Intelligence Systems Management information

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$46K

$102.1K

$153K

How much do artificial intelligence systems management jobs pay per year?

As of Sep 10, 2026, the average yearly pay for artificial intelligence systems management in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is artificial intelligence systems management?

Artificial Intelligence Systems Management involves overseeing the development, deployment, and maintenance of AI technologies within an organization. Professionals in this field coordinate teams, manage resources, and ensure that AI systems are reliable, ethical, and aligned with business goals. Their responsibilities often include monitoring AI model performance, implementing updates, and ensuring compliance with data privacy and regulatory standards. This role requires a blend of technical expertise, project management skills, and an understanding of AI ethics and governance.

What are the main challenges faced in artificial intelligence systems management, and how can professionals overcome them?

Professionals in Artificial Intelligence Systems Management often encounter challenges such as integrating AI solutions with existing systems, ensuring data quality, and maintaining the reliability and scalability of AI models. Close collaboration with IT, data engineering, and business teams is critical to address these issues effectively. Staying updated on the latest AI technologies, establishing strong governance practices, and fostering a culture of continuous learning within the team can help overcome these challenges and drive successful AI deployments.

What are the key skills and qualifications needed to thrive as an artificial intelligence systems manager, and why are they important?

To thrive as an Artificial Intelligence Systems Manager, you need a strong background in computer science, data analysis, machine learning, and experience with AI frameworks, often supported by a relevant degree or certifications. Familiarity with platforms like TensorFlow, PyTorch, cloud services (AWS, Azure), and project management tools is typically expected. Leadership, problem-solving, and effective communication are crucial soft skills for coordinating diverse technical teams and stakeholders. These competencies ensure robust AI system development, efficient workflow management, and the successful implementation of AI initiatives.

What is the difference between Artificial Intelligence Systems Management vs Data Scientist?

AspectArtificial Intelligence Systems ManagementData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or related fields; certifications in AI and project managementBachelor's or master's in statistics, computer science, or related fields; certifications in data analysis and programming
Work EnvironmentOversees AI projects, manages teams, collaborates with engineers and stakeholdersAnalyzes data, develops models, reports insights to business teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinance, healthcare, marketing, and other sectors relying on data-driven decisions

Artificial Intelligence Systems Management focuses on overseeing AI projects and teams, ensuring successful deployment of AI solutions. Data Scientists analyze data and develop models to extract insights. While both roles require technical skills, AI Systems Managers have a broader managerial and project oversight role, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Artificial Intelligence Systems Management jobs?

For Artificial Intelligence Systems Management jobs, the most frequently searched job titles are:

Artificial Intelligence Engineer I

Houston, TX

Insperity
Software Development • 1 - 5K employees
Learn more about Insperityexternal

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Insperity rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

We are seeking an Artificial Intelligence Engineer I to join our team

Summary:

This position is responsible for contributing to the design, delivery, and support of production-grade artificial intelligence systems under close guidance. This role applies foundational software engineering, data management, and generative AI skills to implement well-defined components of AI-powered applications and automated workflows. The Artificial Intelligence Engineer I focuses on building strong SQL and data management capabilities, learning enterprise AI standards, and developing proficiency in production software practices.

Responsibilities:

  • Implements well-defined components of AI solutions, including LLM-based application features and supporting services, under guidance.

  • Develops and maintains Python-based scripts, APIs, and services that support AI workflows and integrations.

  • Writes, optimizes, and validates SQL queries and data transformations used by AI systems; supports data quality checks and basic troubleshooting.

  • Assists with retrieval-augmented generation (RAG) components such as document ingestion, indexing, retrieval configuration, and prompt assembly.

  • Supports creation of evaluation datasets and execution of basic evaluation procedures to measure model outputs and system quality.

  • Follows established testing, documentation, security, and deployment practices to ensure production readiness for assigned work.

  • Identifies data issues, model failure modes, or operational risks and escalates concerns appropriately.

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent demonstrated practical experience.

  • Zero to two (0-2) years or equivalent demonstrated experience in software engineering, data engineering, analytics engineering, or AI-related development.

  • Proficiency in SQL and foundational data management skills, including data validation, data quality awareness, and working with structured datasets (core requirement).

  • Proficiency in Python for application development, scripting, and basic API integration.

  • Introductory experience with generative AI application development, including prompt-based workflows and model-assisted features.

  • Familiarity with Git and modern development practices (branching, code review, and issue tracking).

  • Exposure to LLM tooling such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar is beneficial but not required.

  • Ability to communicate clearly, ask good questions, and incorporate feedback through iterative development.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

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