Side-by-Side Comparison
Amazon Web Services
Open AI Roles
89
Salary Range
$88K - $342K
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, AI Agent Developer
Top Skills
AwsPythonBedrockSagemakerPrompt Engineering
% Remote
0.0%
Experience Mix
Mid 38%, Senior 62%
Company Stage
Unknown
Microsoft
Open AI Roles
44
Salary Range
$68K - $331K
Top Roles
AI/ML Engineer, AI Software Engineer, Data Scientist, Research Scientist
Top Skills
AzurePythonRagDynamics 365Javascript
% Remote
0.0%
Experience Mix
Entry 2%, Mid 30%, Senior 68%
Company Stage
Unknown
Who Wins?
Best for Salary
Microsoft
Median ceiling ~$272K
Best for Remote
Amazon Web Services
0.0% remote positions
Most Roles Available
Amazon Web Services
89 open AI positions
Quick Verdict
For compensation, Microsoft offers significantly higher pay, with median salary ceilings roughly 28% above Amazon Web Services. Amazon Web Services has many more open positions (89 vs 44), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose Amazon Web Services if you prioritize:
- more open positions (89 active AI roles)
- working with Bedrock, Prompt Engineering, Aws
Choose Microsoft if you want:
- higher compensation with median salary ceilings above the competition
- broader role variety across 6 different AI job categories
- working with Azure, Typescript, Dynamics 365
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
Microsoft currently shows higher median salary ceilings for AI positions. Amazon Web Services ranges around $88K - $342K while Microsoft ranges around $68K - $331K. 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 offers more remote opportunities at 0.0% of their AI roles. Amazon Web Services is at 0.0% remote while Microsoft 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 focuses on AI/ML Engineer, AI Product Manager roles, while Microsoft emphasizes AI/ML Engineer, AI Software Engineer. Skill requirements also differ: Amazon Web Services prioritizes Aws, Python, Bedrock, while Microsoft looks for Azure, Python, 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 (Unknown) has 89 open AI roles, while Microsoft (Unknown) has 44. 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 133 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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