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Artificial Intelligence Engineer Manager Jobs (NOW HIRING)

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Orbotech

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... our hiring managers. If you are concerned that a communication, an interview, an offer of ...

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

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

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All JobsArtificial Intelligence Engineer Manager Jobs

Artificial Intelligence Engineer Manager information

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$46.5K

$146.9K

$174K

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

As of Jul 2, 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.

More about Artificial Intelligence Engineer Manager jobs
What cities are hiring for Artificial Intelligence Engineer Manager jobs? 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:
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What job categories do people searching Artificial Intelligence Engineer Manager jobs look for? The top searched job categories for Artificial Intelligence Engineer Manager jobs are:
Artificial Intelligence Engineer Manager jobs near you
Infographic showing various Artificial Intelligence Engineer Manager job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Excelon Solutions

Saint Louis, MO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title- AI Engineer

Location- St. Louis, MO

Knowledge:

  • Deep understanding of the full PDLC, from ideation and requirements through design, development, testing, security, deployment, and operations, including where AI can meaningfully augment each stage.
  • Strong working knowledge of modern AI tooling, particularly generative AI assistants, automation frameworks, developer assistances (e.g. GHCP, Claude Code), and current / emerging best practices, with the ability to evaluate and adopt tools pragmatically rather than by vendor alignment.
  • Solid grounding in responsible AI, including data privacy, security, model risk management, and ethical principles, with experience embedding governance and compliance controls directly into delivery workflows.
  • Familiarity with defining and tracking metrics to measure AI impact on engineering and product outcomes, such as cycle time, defect rates, test coverage, and operational stability.

Skills

  • Ability to embed directly with teams and coach through hands-on application, working shoulder-to-shoulder with engineers, product managers, and QA to apply AI in real scenarios.
  • Ability to define and operationalize AI standards, patterns, and best practices, including usage guidelines, prompt conventions, reference architectures, and reusable templates.
  • Proven capability to design and deliver enablement programs, including playbooks, training materials, workshops, and hands-on coaching that translate AI concepts into practical day-to-day application.
  • Technical proficiency in integrating AI solutions into existing toolchains, such as IDEs, CI/CD pipelines, testing frameworks, and monitoring platforms, including rapid prototyping to demonstrate value.

Strong communication and change leadership skills, with the ability to influence executives and earn credibility with engineering and product teams, addressing concerns and driving adoption

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