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$135.8K

$199.5K

How much do manager artificial intelligence jobs pay per year?

As of Jun 16, 2026, the average yearly pay for manager artificial intelligence in the United States is $135,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $176,000.00 per year, depending on experience, location, and employer.

What is the highest paid job in AI?

The highest paid roles in AI typically include AI research directors, chief AI officers, and senior machine learning engineers, especially those with extensive experience, advanced degrees, and expertise in deep learning and neural networks. These positions often require leadership skills, strategic vision, and proficiency with tools like TensorFlow or PyTorch, with salaries reaching into the high six or seven figures in some cases.

What are the key skills and qualifications needed to thrive as a Manager of Artificial Intelligence, and why are they important?

To thrive as a Manager of Artificial Intelligence, you need a strong background in computer science, machine learning, and data analytics, often supported by advanced degrees and experience in AI project leadership. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with cloud platforms, and certifications like AWS Certified Machine Learning are typically valued. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning projects with business goals. These skills ensure successful development and deployment of AI solutions that drive organizational value and innovation.

How does a Manager of Artificial Intelligence typically collaborate with cross-functional teams within an organization?

A Manager of Artificial Intelligence frequently works alongside data scientists, engineers, product managers, and business stakeholders to align AI initiatives with organizational goals. They facilitate communication between technical and non-technical teams, ensuring that project requirements are clearly understood and that AI solutions support broader business strategies. This collaborative environment often involves regular meetings, progress updates, and joint problem-solving sessions to address challenges and optimize outcomes.

What does a Manager of Artificial Intelligence do?

A Manager of Artificial Intelligence oversees teams and projects that develop and implement AI solutions within an organization. Their responsibilities include setting strategic goals for AI initiatives, managing budgets and timelines, coordinating with other departments, and ensuring that AI systems are aligned with business objectives. They also stay updated on the latest advancements in AI technologies and ensure ethical standards and compliance are maintained. This role requires both technical knowledge of AI and strong leadership skills to guide multidisciplinary teams.

Which 3 jobs will survive AI?

For a Manager of Artificial Intelligence, roles that require complex decision-making, emotional intelligence, and creative problem-solving are likely to persist, such as strategic management, human resources leadership, and specialized AI ethics or policy roles. These jobs involve skills that are difficult for AI to replicate fully and often require ongoing human oversight and judgment.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a senior or executive-level position in artificial intelligence, such as AI Director, Chief AI Officer, or senior machine learning executive, often involving leadership, strategic planning, and advanced technical expertise. These roles usually require extensive experience, advanced degrees, and skills in AI development, data science, and leadership, and they often include high compensation packages reflecting their seniority and impact on business strategy.

How much does an AI manager make?

An AI manager typically earns between $100,000 and $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand sectors may offer higher compensation, often including bonuses and stock options. Strong skills in machine learning, leadership, and project management are important for higher salaries.

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

AspectManager Artificial IntelligenceData Scientist
CredentialsMaster's or PhD in AI, Computer Science, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Industry UsageUsed in organizations deploying AI solutions, tech companies, R&DUsed across industries for data analysis, predictive modeling

The main difference is that a Manager Artificial Intelligence oversees AI projects and teams, focusing on strategy and implementation, while a Data Scientist primarily analyzes data and builds models. Managers handle leadership and project management, whereas Data Scientists focus on technical analysis and model development.

More about Manager Artificial Intelligence jobs
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Manager Artificial Intelligence jobs near you
Infographic showing various Manager Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $135,829 per year, or $65.3 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Other

Posted 20 days ago

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply