Side-by-Side Comparison
Open AI Roles
229
Salary Range
$104K - $427K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Product Manager, Research Engineer
Top Skills
GcpPythonGeminiRagVertex Ai
% Remote
0.4%
Experience Mix
Entry 0%, Mid 53%, Senior 47%
Company Stage
Unknown
EY
Open AI Roles
84
Salary Range
$91K - $374K
Top Roles
AI/ML Engineer, AI Architect, AI Software Engineer, AI Product Manager
Top Skills
AzurePythonAwsLangchainOpenai
% Remote
0.0%
Experience Mix
Entry 4%, Mid 48%, Senior 49%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$252K
Best for Remote
Google
0.4% remote positions
Most Roles Available
Google
229 open AI positions
Quick Verdict
Both companies offer comparable compensation, with median salary ceilings within 10% of each other. Google has many more open positions (229 vs 84), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose Google if you prioritize:
- higher compensation with median salary ceilings above the competition
- broader role variety across 9 different AI job categories
- more open positions (229 active AI roles)
- working with Tensorflow, Vertex Ai, Gemini
Choose EY if you want:
- working with Langchain, Anthropic, Azure
- its specific team culture and project focus
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. Google ranges around $104K - $427K while EY ranges around $91K - $374K. 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 0.4% of their AI roles. Google is at 0.4% remote while EY 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.
Google focuses on AI/ML Engineer, AI Software Engineer roles, while EY emphasizes AI/ML Engineer, AI Architect. Skill requirements also differ: Google prioritizes Gcp, Python, Gemini, while EY looks for Azure, Python, Aws. 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. Google (Unknown) has 229 open AI roles, while EY (Unknown) has 84. 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 313 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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