JPMorganChase vs Amazon Web Services (AWS): AI Jobs, Salaries & Roles

Head-to-head comparison of AI career opportunities at JPMorganChase and Amazon Web Services (AWS).

Side-by-Side Comparison

AI company intelligence showing hiring activity and compensation

JPMorganChase

Open AI Roles 178
Salary Range $109K - $325K
Top Roles AI/ML Engineer, AI Software Engineer, AI Product Manager, Data Scientist
Top Skills
AwsPythonKubernetesAzureRag
% Remote 0.0%
Experience Mix Entry 10%, Mid 43%, Senior 48%
Company Stage Unknown

Amazon Web Services (AWS)

Open AI Roles 96
Salary Range Not disclosed
Top Roles AI/ML Engineer, AI Product Manager, Research Scientist, AI Architect
Top Skills
AwsBedrockRagSagemaker
% Remote 0.0%
Experience Mix Mid 31%, Senior 69%
Company Stage Unknown

Who Wins?

Best for Salary
JPMorganChase
Median ceiling ~$215K
Best for Remote
JPMorganChase
0.0% remote positions
Most Roles Available
JPMorganChase
178 open AI positions

Quick Verdict

Both companies are actively hiring with a similar number of open AI roles (178 at JPMorganChase vs 96 at Amazon Web Services (AWS)).

Which Should You Choose?

Choose JPMorganChase if you prioritize:

  • broader role variety across 9 different AI job categories
  • more open positions (178 active AI roles)
  • working with Gcp, Python, Kubernetes

Choose Amazon Web Services (AWS) if you want:

  • working with Bedrock, Sagemaker
  • its specific team culture and project focus

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

JPMorganChase currently shows higher median salary ceilings for AI positions. JPMorganChase ranges around $109K - $325K while Amazon Web Services (AWS) 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.
JPMorganChase offers more remote opportunities at 0.0% of their AI roles. JPMorganChase is at 0.0% remote while Amazon Web Services (AWS) 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 Amazon Web Services (AWS) emphasizes AI/ML Engineer, AI Product Manager. Skill requirements also differ: JPMorganChase prioritizes Aws, Python, Kubernetes, while Amazon Web Services (AWS) looks for Aws, Bedrock, Rag. 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 178 open AI roles, while Amazon Web Services (AWS) (Unknown) has 96. 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 274 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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