Side-by-Side Comparison
Capital One
Open AI Roles
66
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Software Engineer, Data Engineer
Top Skills
AwsPythonPytorchHugging FaceAzure
% Remote
6.1%
Experience Mix
Entry 18%, Mid 24%, Senior 58%
Company Stage
Enterprise/Public
Amazon Web Services
Open AI Roles
57
Salary Range
$82K - $342K
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, Data Scientist
Top Skills
AwsBedrockPythonSagemakerRag
% Remote
0.0%
Experience Mix
Mid 46%, Senior 54%
Company Stage
Unknown
Who Wins?
Best for Salary
Amazon Web Services
Median ceiling ~$220K
Best for Remote
Capital One
6.1% remote positions
Most Roles Available
Capital One
66 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (66 at Capital One vs 57 at Amazon Web Services).
Which Should You Choose?
Choose Capital One if you prioritize:
- broader role variety across 5 different AI job categories
- more open positions (66 active AI roles)
- working with Rlhf, Gcp, Reveal
Choose Amazon Web Services if you want:
- working with Rag, Prompt Engineering, Sagemaker
- its specific team culture and project focus
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Company stage matters: Capital One (Enterprise/Public) and Amazon Web Services (undisclosed stage) offer different trajectories for skill development, title progression, and equity value. 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 $82K - $342K. 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 6.1% of their AI roles. Capital One is at 6.1% 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, Pytorch, while Amazon Web Services looks for Aws, Bedrock, Python. 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 (Enterprise/Public) has 66 open AI roles, while Amazon Web Services (Unknown) has 57. 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 123 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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.
Free weekly email. Unsubscribe anytime.