Side-by-Side Comparison
Capital One
Open AI Roles
112
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Product Manager, AI Software Engineer
Top Skills
AwsPythonAzureGcpReveal
% Remote
10.7%
Experience Mix
Entry 10%, Mid 60%, Senior 30%
Company Stage
Unknown
Amazon Web Services
Open AI Roles
64
Salary Range
$92K - $299K
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, AI Software Engineer
Top Skills
AwsPythonBedrockSagemakerRag
% Remote
0.0%
Experience Mix
Mid 36%, Senior 64%
Company Stage
Unknown
Who Wins?
Best for Salary
Amazon Web Services
Median ceiling ~$221K
Best for Remote
Capital One
10.7% remote positions
Most Roles Available
Capital One
112 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (112 at Capital One vs 64 at Amazon Web Services).
Which Should You Choose?
Choose Capital One if you prioritize:
- more remote flexibility (10.7% remote positions)
- more open positions (112 active AI roles)
- working with Gcp, Reveal, Kubernetes
Choose Amazon Web Services if you want:
- broader role variety across 6 different AI job categories
- working with Jax, Sagemaker, Rag
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
Amazon Web Services currently shows higher median salary ceilings for AI positions. Capital One ranges around Not disclosed while Amazon Web Services ranges around $92K - $299K. 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 10.7% of their AI roles. Capital One is at 10.7% remote while Amazon Web Services 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.
Capital One focuses on AI/ML Engineer, Data Scientist roles, while Amazon Web Services emphasizes AI/ML Engineer, AI Product Manager. Skill requirements also differ: Capital One prioritizes Aws, Python, Azure, while Amazon Web Services looks for Aws, Python, Bedrock. 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. Capital One (Unknown) has 112 open AI roles, while Amazon Web Services (Unknown) has 64. 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 176 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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