Side-by-Side Comparison
Amazon.com
Open AI Roles
79
Salary Range
$52K - $309K
Top Roles
AI/ML Engineer, Research Scientist, AI Product Manager, Data Scientist
Top Skills
PythonAwsPytorchRagTensorflow
% Remote
0.0%
Experience Mix
Mid 58%, Senior 42%
Company Stage
Unknown
Capgemini
Open AI Roles
34
Salary Range
$43K - $400K
Top Roles
AI/ML Engineer, Data Scientist, AI Product Manager, Data Engineer
Top Skills
PythonAwsAzureGcpRag
% Remote
0.0%
Experience Mix
Entry 6%, Mid 71%, Senior 24%
Company Stage
Unknown
Who Wins?
Best for Salary
Amazon.com
Median ceiling ~$222K
Best for Remote
Amazon.com
0.0% remote positions
Most Roles Available
Amazon.com
79 open AI positions
Quick Verdict
For compensation, Amazon.com offers significantly higher pay, with median salary ceilings roughly 71% above Capgemini. Amazon.com has many more open positions (79 vs 34), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose Amazon.com if you prioritize:
- higher compensation with median salary ceilings above the competition
- broader role variety across 6 different AI job categories
- more open positions (79 active AI roles)
- working with Pytorch, Jax, Javascript
Choose Capgemini if you want:
- working with Openai, Prompt Engineering, Docker
- its specific team culture and project focus
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.com ranges around $52K - $309K while Capgemini ranges around $43K - $400K. 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 0.0% of their AI roles. Amazon.com is at 0.0% remote while Capgemini 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.com focuses on AI/ML Engineer, Research Scientist roles, while Capgemini emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Amazon.com prioritizes Python, Aws, Pytorch, while Capgemini looks for Python, Aws, Azure. 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.com (Unknown) has 79 open AI roles, while Capgemini (Unknown) has 34. 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 113 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.
Free weekly email. Unsubscribe anytime.