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Artificial Intelligence Engineer Manager Jobs (NOW HIRING)

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Collaborates cross-functionally with product management, platform teams, and stakeholders to guide ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... Collaborates cross-functionally with product management, platform teams, and stakeholders to guide ...

Artificial Intelligence Engineer

San Mateo, CA · On-site

$139K - $183K/yr

You will serve as the software engineering leader within the AI team, establishing best practices for code quality, architecture, testing, and deployment while working closely with AI researchers to ...

Implement MLOps practices for lifecycle management, monitoring, and continuous improvement. * Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business ...

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 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Alameda, CA · On-site

$137.76 - $165.31/hr

AI Capability Engineering & Operations * Operationalize reusable AI capabilities: * Prompt, tool, and agent orchestration frameworks * Evaluation, monitoring, and observability pipelines * Enable ...

New

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$109K - $132K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Showing results 41-60

Artificial Intelligence Engineer Manager information

See salary details

$46.5K

$146.9K

$174K

How much do artificial intelligence engineer manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for artificial intelligence engineer manager in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Engineer Manager vs Data Scientist?

AspectArtificial Intelligence Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads AI teams, manages projects, collaborates with engineeringAnalyzes data, builds models, interprets insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

The Artificial Intelligence Engineer Manager oversees AI projects and teams, focusing on leadership and strategic implementation. In contrast, Data Scientists primarily analyze data and develop models to extract insights. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

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Cities with the most Artificial Intelligence Engineer Manager job openings:

What are the most commonly searched types of Artificial Intelligence Engineer jobs?

The most popular types of Artificial Intelligence Engineer jobs are:

What states have the most Artificial Intelligence Engineer Manager jobs?

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The top searched job categories for Artificial Intelligence Engineer Manager jobs are:

Infographic showing various Artificial Intelligence Engineer Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Artificial Intelligence Engineer III

Insperity

Madison, WI • On-site

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Insperity rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

223rd of 500 rated business services


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 III to join our team
Summary:
This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.
Responsibilities:
  • Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.
  • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.
  • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.
  • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.
  • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.
  • Owns production readiness, including performance, reliability, cost, observability, and failure handling.
  • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.
  • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.
  • Mentors and provides technical guidance to other team members.
  • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.
  • Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
  • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.
  • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.
  • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.
  • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
  • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.
  • Experience deploying, monitoring, and iterating on AI systems in production environments.
  • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.
  • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

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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