Amazon Web Services vs Deloitte: AI Jobs, Salaries & Roles

Head-to-head comparison of AI career opportunities at Amazon Web Services and Deloitte.

Side-by-Side Comparison

AI company intelligence showing hiring activity and compensation

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

Deloitte

Open AI Roles 49
Salary Range $76K - $379K
Top Roles AI/ML Engineer, AI Architect, Research Engineer, Data Scientist
Top Skills
PythonAzureGcpAwsOpenai
% Remote 0.0%
Experience Mix Entry 2%, Mid 63%, Senior 35%
Company Stage Unknown

Who Wins?

Best for Salary
Deloitte
Median ceiling ~$218K
Best for Remote
Amazon Web Services
0.0% remote positions
Most Roles Available
Amazon Web Services
89 open AI positions

Quick Verdict

Both companies offer comparable compensation, with median salary ceilings within 10% of each other. Both companies are actively hiring with a similar number of open AI roles (89 at Amazon Web Services vs 49 at Deloitte).

Which Should You Choose?

Choose Amazon Web Services if you prioritize:

  • more open positions (89 active AI roles)
  • working with Pytorch, Sagemaker, Tensorflow

Choose Deloitte if you want:

  • higher compensation with median salary ceilings above the competition
  • broader role variety across 7 different AI job categories
  • working with Gcp, Vertex Ai, Azure

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

Deloitte currently shows higher median salary ceilings for AI positions. Amazon Web Services ranges around $88K - $342K 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.
Amazon Web Services offers more remote opportunities at 0.0% of their AI roles. Amazon Web Services 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.
Amazon Web Services focuses on AI/ML Engineer, AI Product Manager roles, while Deloitte emphasizes AI/ML Engineer, AI Architect. Skill requirements also differ: Amazon Web Services prioritizes Aws, Python, Bedrock, 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. Amazon Web Services (Unknown) has 89 open AI roles, while Deloitte (Unknown) has 49. 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 138 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.

Get Weekly AI Career Intelligence

Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.