Side-by-Side Comparison
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
Microsoft
Open AI Roles
29
Salary Range
$64K - $304K
Top Roles
AI/ML Engineer, AI Software Engineer, Research Scientist, AI Product Manager
Top Skills
AzurePythonJavascriptPrompt EngineeringSemantic Kernel
% Remote
3.4%
Experience Mix
Mid 45%, Senior 55%
Company Stage
Unknown
Who Wins?
Best for Salary
Microsoft
Median ceiling ~$272K
Best for Remote
Capital One
5.5% remote positions
Most Roles Available
Capital One
73 open AI positions
Quick Verdict
Capital One has many more open positions (73 vs 29), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose Capital One if you prioritize:
- more open positions (73 active AI roles)
- working with Reveal, Golang, Rlhf
Choose Microsoft if you want:
- broader role variety across 6 different AI job categories
- working with Prompt Engineering, Autogen, Semantic Kernel
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Company stage matters: Capital One (Enterprise/Public) and Microsoft (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
Microsoft currently shows higher median salary ceilings for AI positions. Capital One ranges around Not disclosed while Microsoft ranges around $64K - $304K. 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. Capital One is at 5.5% remote while Microsoft is at 3.4% 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 Microsoft emphasizes AI/ML Engineer, AI Software Engineer. Skill requirements also differ: Capital One prioritizes Aws, Python, Pytorch, while Microsoft looks for Azure, Python, Javascript. 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 73 open AI roles, while Microsoft (Unknown) has 29. 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 102 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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