Side-by-Side Comparison
Amazon Web Services
Open AI Roles
571
Salary Range
$56K - $342K
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, Data Scientist
Top Skills
AwsRagRustPythonBedrock
% Remote
0.0%
Experience Mix
Entry 0%, Mid 29%, Senior 71%
Company Stage
Unknown
Amazon.com
Open AI Roles
488
Salary Range
$39K - $342K
Top Roles
AI/ML Engineer, AI Product Manager, Data Scientist, Research Scientist
Top Skills
RagAwsRustPythonTableau
% Remote
0.4%
Experience Mix
Entry 6%, Mid 48%, Senior 47%
Company Stage
Unknown
Who Wins?
Best for Salary
Amazon Web Services
Median ceiling ~$213K
Best for Remote
Amazon.com
0.4% remote positions
Most Roles Available
Amazon Web Services
571 open AI positions
Quick Verdict
Both companies offer comparable compensation, with median salary ceilings within 10% of each other. Both companies are actively hiring with a similar number of open AI roles (571 at Amazon Web Services vs 488 at Amazon.com).
Which Should You Choose?
Choose Amazon Web Services if you prioritize:
- higher compensation with median salary ceilings above the competition
- more open positions (571 active AI roles)
- working with Prompt Engineering, Bedrock, Sagemaker
Choose Amazon.com if you want:
- broader role variety across 6 different AI job categories
- working with Salesforce, Golang, Tableau
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Remote work flexibility also affects quality of life and total compensation when you factor in commute costs and geographic salary adjustments.
Frequently Asked Questions
Amazon Web Services currently shows higher median salary ceilings for AI positions. Amazon Web Services ranges around $56K - $342K while Amazon.com ranges around $39K - $342K. Keep in mind that posted salary ranges reflect base compensation and often exclude equity, signing bonuses, and annual performance bonuses that can add 10-30% to total compensation. Actual offers also depend on specific role, seniority level, location, and negotiation. Check individual job listings for the most current figures.
Amazon.com offers more remote opportunities at 0.4% of their AI roles. Amazon Web Services is at 0.0% remote while Amazon.com is at 0.4% remote. Remote availability can shift quickly as companies adjust return-to-office policies. Some roles listed as hybrid may allow mostly remote work in practice. If remote work is a priority, filter by the remote tag on individual company pages and pay attention to whether the listing specifies a geographic requirement.
Amazon Web Services focuses on AI/ML Engineer, AI Product Manager roles, while Amazon.com emphasizes AI/ML Engineer, AI Product Manager. Skill requirements also differ: Amazon Web Services prioritizes Aws, Rag, Rust, while Amazon.com looks for Rag, Aws, Rust. These differences often reflect each company's core AI products and business model. The tech stack you work with early in your career shapes your trajectory, so consider which skill set aligns with your long-term goals.
Career growth depends on company stage, team size, and role scope. Amazon Web Services (Unknown) has 571 open AI roles, while Amazon.com (Unknown) has 488. Companies with more open roles often provide faster internal mobility and broader project exposure. Look at the experience mix breakdown above to gauge whether each company is primarily hiring senior talent or building entry-level pipelines, as this signals different mentorship and advancement cultures.
Data Source: Analysis based on 1,059 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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