Side-by-Side Comparison
Open AI Roles
134
Salary Range
$102K - $365K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Product Manager, AI Agent Developer
Top Skills
GcpPythonVertex AiGeminiRag
% Remote
0.0%
Experience Mix
Entry 1%, Mid 46%, Senior 53%
Company Stage
Unknown
Deloitte
Open AI Roles
59
Salary Range
$76K - $379K
Top Roles
AI/ML Engineer, AI Architect, Data Engineer, Research Engineer
Top Skills
PythonAzureGcpAwsOpenai
% Remote
0.0%
Experience Mix
Entry 10%, Mid 61%, Senior 29%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$252K
Best for Remote
Google
0.0% remote positions
Most Roles Available
Google
134 open AI positions
Quick Verdict
For compensation, Google offers significantly higher pay, with median salary ceilings roughly 15% above Deloitte. Google has many more open positions (134 vs 59), 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 8 different AI job categories
- more open positions (134 active AI roles)
- working with Tensorflow, Jax, Gemini
Choose Deloitte if you want:
- working with Azure, Bedrock, Mlflow
- 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
Google currently shows higher median salary ceilings for AI positions. Google ranges around $102K - $365K while Deloitte ranges around $76K - $379K. 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 0.0% of their AI roles. Google is at 0.0% remote while Deloitte 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 Deloitte emphasizes AI/ML Engineer, AI Architect. Skill requirements also differ: Google prioritizes Gcp, Python, Vertex Ai, while Deloitte looks for Python, Azure, Gcp. 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 134 open AI roles, while Deloitte (Unknown) has 59. 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 193 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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