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
Open AI Roles
434
Salary Range
$79K - $427K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Architect, AI Product Manager
Top Skills
RagGcpRustPythonGemini
% Remote
0.2%
Experience Mix
Entry 1%, Mid 61%, Senior 38%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$237K
Best for Remote
Google
0.2% remote positions
Most Roles Available
Amazon Web Services
571 open AI positions
Quick Verdict
For compensation, Google offers significantly higher pay, with median salary ceilings roughly 11% above Amazon Web Services. Both companies are actively hiring with a similar number of open AI roles (571 at Amazon Web Services vs 434 at Google).
Which Should You Choose?
Choose Amazon Web Services if you prioritize:
- more open positions (571 active AI roles)
- working with Jax, Bedrock, Prompt Engineering
Choose Google if you want:
- higher compensation with median salary ceilings above the competition
- broader role variety across 7 different AI job categories
- working with Gemini, Gcp, Crewai
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
Google currently shows higher median salary ceilings for AI positions. Amazon Web Services ranges around $56K - $342K while Google ranges around $79K - $427K. 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.
Google offers more remote opportunities at 0.2% of their AI roles. Amazon Web Services is at 0.0% remote while Google is at 0.2% 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 Google emphasizes AI/ML Engineer, AI Software Engineer. Skill requirements also differ: Amazon Web Services prioritizes Aws, Rag, Rust, while Google looks for Rag, Gcp, 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 Google (Unknown) has 434. 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 1,005 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.
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.