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$11K

$102.9K

$133K

How much do amazon artificial intelligence jobs pay per year?

As of Jul 13, 2026, the average yearly pay for amazon artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

How does an Amazon Artificial Intelligence professional typically collaborate with other teams to deliver AI-driven solutions?

As an Amazon AI professional, you'll frequently work cross-functionally with data scientists, software engineers, product managers, and business stakeholders. Collaboration often involves participating in agile development cycles, contributing to the design and deployment of scalable machine learning models, and ensuring solutions align with business goals. Regular communication and project updates are essential, as is the ability to translate complex technical concepts for non-technical colleagues. This collaborative structure helps ensure AI solutions are integrated effectively into Amazon's products and services.

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

AspectAmazon Artificial IntelligenceAmazon Data Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; experience with machine learning frameworksBachelor's or higher in Data Science, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentDeveloping AI models, algorithms, and tools within Amazon's AI teamsAnalyzing large datasets, building predictive models, and deriving insights for business decisions
Employer & Industry UsagePrimarily in AI product development, cloud services, and machine learning solutions at AmazonAcross various departments for data analysis, forecasting, and strategic insights at Amazon

Amazon Artificial Intelligence focuses on creating AI models and algorithms, while Amazon Data Scientists analyze data to inform business decisions. Both roles require strong technical skills, but AI specialists develop the tools, whereas Data Scientists interpret data insights.

How much do Amazon AI employees make?

Amazon AI employees' salaries vary based on role, experience, and location, but generally range from $100,000 to $180,000 annually for positions such as machine learning engineers and data scientists. Compensation often includes bonuses and stock options, and roles typically require strong skills in machine learning, programming, and cloud services like AWS.

What is the salary of AI specialist in Amazon?

The salary of an AI specialist at Amazon typically ranges from $100,000 to $150,000 per year, depending on experience, location, and skill level. Compensation may also include bonuses, stock options, and benefits. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and deep learning can earn higher salaries.

What are the key skills and qualifications needed to thrive as an Amazon Artificial Intelligence Engineer, and why are they important?

To thrive as an Amazon Artificial Intelligence Engineer, you need a strong background in computer science, machine learning, data analysis, and proficiency in programming languages such as Python or Java, typically supported by a relevant degree. Experience with cloud platforms like AWS, machine learning frameworks (e.g., TensorFlow, PyTorch), and certifications like AWS Certified Machine Learning are highly valued. Creative problem-solving, collaboration, and effective communication are essential soft skills for working on innovative AI projects and cross-functional teams. These skills and qualifications are crucial for developing scalable AI solutions that drive Amazon’s products and services forward.

What is the easiest AI job to get?

Entry-level AI roles such as AI support technician or data annotation positions are generally the easiest to obtain, often requiring basic understanding of AI concepts, some programming skills, and familiarity with tools like Python or data labeling platforms. These roles typically have lower experience requirements and serve as stepping stones into more advanced AI careers.

What are Amazon Artificial Intelligence jobs?

Amazon Artificial Intelligence jobs involve developing, implementing, and managing AI solutions across Amazon’s vast ecosystem, including e-commerce, cloud computing (AWS), logistics, and digital products. These roles can range from machine learning engineers and data scientists to applied scientists and AI product managers. Employees working in these positions typically design and train machine learning models, build intelligent systems, and help integrate AI technologies to improve customer experience and optimize business operations. The positions often require expertise in programming, data analysis, and AI frameworks, as well as experience with large-scale distributed systems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, often requiring advanced skills, extensive experience, and leadership in AI development. Such roles may involve overseeing large projects, managing teams, and working with cutting-edge tools and frameworks, and they usually offer compensation including salary, bonuses, and stock options. These positions are rare and highly competitive, often found in major tech companies like Amazon, Google, or Microsoft.
More about Amazon Artificial Intelligence jobs
What states have the most Amazon Artificial Intelligence jobs? States with the most job openings for Amazon Artificial Intelligence jobs include:
What job categories do people searching Amazon Artificial Intelligence jobs look for? The top searched job categories for Amazon Artificial Intelligence jobs are:
Amazon Artificial Intelligence jobs near you
Infographic showing various Amazon Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Manager, Technical Program Management - Artificial Intelligence

Zoox

Foster City, CA • On-site

$215K - $278K/yr

Full-time

Medical, Life, PTO

Re-posted 23 days ago

Job description

Zoox's Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox's needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.
In this role, you will:
  • Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members
  • Set the program management direction for the autonomy perception TPM team, and iterate on our development processes
  • Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.
  • Create and deliver technical presentations that explain program initiatives to downstream consumer teams
  • Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings
  • Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments
Qualifications
  • BS or MS degree in computer science, engineering or equivalent job experience
  • At least 10 years of experience in engineering, program management, or management consulting
  • At least 5 years of experience managing a team of technical program managers
  • Deep familiarity with autonomy software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrixes, Smartsheet, JIRA, etc.)
  • An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience
Bonus Qualifications
  • Experience with Perception, AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes
  • Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations
  • Experience managing through other managers.
$215,000 - $278,000 a year
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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