Side-by-Side Comparison
Amazon Web Services
Open AI Roles
73
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 45%, Senior 55%
Company Stage
Unknown
Capital One
Open AI Roles
73
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Software Engineer, Data Engineer
Top Skills
AwsPythonPytorchHugging FaceAzure
% Remote
5.5%
Experience Mix
Entry 18%, Mid 22%, Senior 60%
Company Stage
Enterprise/Public
Who Wins?
Best for Salary
Amazon Web Services
Median ceiling ~$212K
Best for Remote
Capital One
5.5% remote positions
Most Roles Available
Amazon Web Services
73 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (73 at Amazon Web Services vs 73 at Capital One).
Which Should You Choose?
Choose Amazon Web Services if you prioritize:
- working with Prompt Engineering, Tensorflow, Rag
- its specific team culture and project focus
Choose Capital One if you want:
- broader role variety across 5 different AI job categories
- working with Reveal, Rlhf, Langchain
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Company stage matters: Amazon Web Services (undisclosed stage) and Capital One (Enterprise/Public) 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. Amazon Web Services ranges around $82K - $342K 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 5.5% of their AI roles. Amazon Web Services is at 0.0% remote while Capital One is at 5.5% 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 Capital One emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Amazon Web Services prioritizes Aws, Bedrock, Python, while Capital One looks for Aws, Python, Pytorch. 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 73 open AI roles, while Capital One (Enterprise/Public) has 73. 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 146 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.
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