Side-by-Side Comparison
JPMorganChase
Open AI Roles
141
Salary Range
$88K - $450K
Top Roles
AI/ML Engineer, AI Software Engineer, Data Scientist, AI Product Manager
Top Skills
PythonAwsPytorchKubernetesTensorflow
% Remote
0.0%
Experience Mix
Entry 11%, Mid 36%, Senior 53%
Company Stage
Unknown
Open AI Roles
134
Salary Range
$102K - $365K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Product Manager, AI Agent Developer
Top Skills
GcpPythonVertex AiGeminiRag
% Remote
0.0%
Experience Mix
Entry 1%, Mid 46%, Senior 53%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$252K
Best for Remote
JPMorganChase
0.0% remote positions
Most Roles Available
JPMorganChase
141 open AI positions
Quick Verdict
For compensation, Google offers significantly higher pay, with median salary ceilings roughly 17% above JPMorganChase. Both companies are actively hiring with a similar number of open AI roles (141 at JPMorganChase vs 134 at Google).
Which Should You Choose?
Choose JPMorganChase if you prioritize:
- more open positions (141 active AI roles)
- working with Docker, Kubernetes, Azure
Choose Google if you want:
- higher compensation with median salary ceilings above the competition
- broader role variety across 8 different AI job categories
- working with Jax, Gemini, Rag
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Since both companies lean toward onsite work, consider how each company's office locations align with your living situation and career network.
Frequently Asked Questions
Google currently shows higher median salary ceilings for AI positions. JPMorganChase ranges around $88K - $450K while Google ranges around $102K - $365K. 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.
JPMorganChase offers more remote opportunities at 0.0% of their AI roles. JPMorganChase is at 0.0% remote while Google 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.
JPMorganChase focuses on AI/ML Engineer, AI Software Engineer roles, while Google emphasizes AI/ML Engineer, AI Software Engineer. Skill requirements also differ: JPMorganChase prioritizes Python, Aws, Pytorch, while Google looks for Gcp, Python, Vertex Ai. 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. JPMorganChase (Unknown) has 141 open AI roles, while Google (Unknown) has 134. 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 275 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 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.