Side-by-Side Comparison
JPMorganChase
Open AI Roles
216
Salary Range
$99K - $325K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Product Manager, Data Scientist
Top Skills
PythonAwsKubernetesRagAzure
% Remote
0.0%
Experience Mix
Entry 12%, Mid 42%, Senior 46%
Company Stage
Unknown
EY
Open AI Roles
84
Salary Range
$91K - $374K
Top Roles
AI/ML Engineer, AI Architect, AI Software Engineer, AI Product Manager
Top Skills
AzurePythonAwsLangchainOpenai
% Remote
0.0%
Experience Mix
Entry 4%, Mid 48%, Senior 49%
Company Stage
Unknown
Who Wins?
Best for Salary
EY
Median ceiling ~$233K
Best for Remote
JPMorganChase
0.0% remote positions
Most Roles Available
JPMorganChase
216 open AI positions
Quick Verdict
Both companies offer comparable compensation, with median salary ceilings within 10% of each other. JPMorganChase has many more open positions (216 vs 84), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose JPMorganChase if you prioritize:
- broader role variety across 10 different AI job categories
- more open positions (216 active AI roles)
- working with Llamaindex, Kubernetes, Gcp
Choose EY if you want:
- higher compensation with median salary ceilings above the competition
- working with Langchain, Anthropic, Openai
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
EY currently shows higher median salary ceilings for AI positions. JPMorganChase ranges around $99K - $325K while EY ranges around $91K - $374K. 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 EY 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 EY emphasizes AI/ML Engineer, AI Architect. Skill requirements also differ: JPMorganChase prioritizes Python, Aws, Kubernetes, while EY looks for Azure, Python, Aws. 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 216 open AI roles, while EY (Unknown) has 84. 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 300 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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