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
Deloitte
Open AI Roles
122
Salary Range
$61K - $338K
Top Roles
AI/ML Engineer, Data Scientist, AI Software Engineer, AI Product Manager
Top Skills
PythonAwsAzureGcpKubernetes
% Remote
0.8%
Experience Mix
Entry 6%, Mid 59%, Senior 35%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$252K
Best for Remote
Deloitte
0.8% remote positions
Most Roles Available
Google
229 open AI positions
Quick Verdict
For compensation, Google offers significantly higher pay, with median salary ceilings roughly 18% above Deloitte. Both companies are actively hiring with a similar number of open AI roles (229 at Google vs 122 at Deloitte).
Which Should You Choose?
Choose Google if you prioritize:
- higher compensation with median salary ceilings above the competition
- more open positions (229 active AI roles)
- working with Tensorflow, Vertex Ai, Jax
Choose Deloitte if you want:
- working with Azure, Bedrock, Openai
- 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 Deloitte ranges around $61K - $338K. 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.
Deloitte offers more remote opportunities at 0.8% of their AI roles. Google is at 0.4% remote while Deloitte is at 0.8% 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 Deloitte emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Google prioritizes Gcp, Python, Gemini, while Deloitte 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. Google (Unknown) has 229 open AI roles, while Deloitte (Unknown) has 122. 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 351 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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