Side-by-Side Comparison
Amazon Web Services (AWS)
Open AI Roles
96
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, AI Architect
Top Skills
AwsBedrockRagSagemaker
% Remote
0.0%
Experience Mix
Mid 31%, Senior 69%
Company Stage
Unknown
Amazon.com
Open AI Roles
53
Salary Range
$116K - $297K
Top Roles
Research Scientist, AI/ML Engineer, AI Product Manager, Data Scientist
Top Skills
PythonAwsRagTensorflowBedrock
% Remote
0.0%
Experience Mix
Mid 60%, Senior 40%
Company Stage
Unknown
Who Wins?
Best for Salary
Amazon.com
Median ceiling ~$226K
Best for Remote
Amazon Web Services (AWS)
0.0% remote positions
Most Roles Available
Amazon Web Services (AWS)
96 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (96 at Amazon Web Services (AWS) vs 53 at Amazon.com).
Which Should You Choose?
Choose Amazon Web Services (AWS) if you prioritize:
- more open positions (96 active AI roles)
- its specific team culture and project focus
Choose Amazon.com if you want:
- broader role variety across 5 different AI job categories
- working with Rlhf, Python, Javascript
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Since both companies lean toward onsite work, consider how each company's office locations align with your living situation and career network.
Frequently Asked Questions
Amazon.com currently shows higher median salary ceilings for AI positions. Amazon Web Services (AWS) ranges around Not disclosed while Amazon.com ranges around $116K - $297K. 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 Web Services (AWS) offers more remote opportunities at 0.0% of their AI roles. Amazon Web Services (AWS) is at 0.0% remote while Amazon.com is at 0.0% 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 (AWS) focuses on AI/ML Engineer, AI Product Manager roles, while Amazon.com emphasizes Research Scientist, AI/ML Engineer. Skill requirements also differ: Amazon Web Services (AWS) prioritizes Aws, Bedrock, Rag, while Amazon.com looks for Python, Aws, Rag. 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 (AWS) (Unknown) has 96 open AI roles, while Amazon.com (Unknown) has 53. 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 149 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of October 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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