Side-by-Side Comparison
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
Capital One
Open AI Roles
109
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Product Manager, AI Software Engineer
Top Skills
AwsPythonRevealAzureGcp
% Remote
11.0%
Experience Mix
Entry 9%, Mid 61%, Senior 30%
Company Stage
Unknown
Who Wins?
Best for Salary
Deloitte
Median ceiling ~$214K
Best for Remote
Capital One
11.0% remote positions
Most Roles Available
Deloitte
122 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (122 at Deloitte vs 109 at Capital One).
Which Should You Choose?
Choose Deloitte if you prioritize:
- broader role variety across 9 different AI job categories
- more open positions (122 active AI roles)
- working with Rag, Gemini, Bedrock
Choose Capital One if you want:
- more remote flexibility (11.0% remote positions)
- working with Golang, Langchain, Hugging Face
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
Deloitte currently shows higher median salary ceilings for AI positions. Deloitte ranges around $61K - $338K while Capital One ranges around Not disclosed. 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.
Capital One offers more remote opportunities at 11.0% of their AI roles. Deloitte is at 0.8% remote while Capital One is at 11.0% 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.
Deloitte focuses on AI/ML Engineer, Data Scientist roles, while Capital One emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Deloitte prioritizes Python, Aws, Azure, while Capital One looks for Aws, Python, Reveal. 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. Deloitte (Unknown) has 122 open AI roles, while Capital One (Unknown) has 109. 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 231 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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