Side-by-Side Comparison
PwC
Open AI Roles
587
Salary Range
$55K - $410K
Top Roles
AI/ML Engineer, Data Scientist, AI Engineering Manager, AI Architect
Top Skills
AwsRustRagPrompt EngineeringLangchain
% Remote
0.0%
Experience Mix
Entry 13%, Mid 27%, Senior 60%
Company Stage
Unknown
Burlington Stores
Open AI Roles
352
Salary Range
$24K - $105K
Top Roles
AI/ML Engineer, Data Scientist
Top Skills
RagRustPower BiPythonTableau
% Remote
0.0%
Experience Mix
Entry 26%, Mid 70%, Senior 4%
Company Stage
Unknown
Who Wins?
Best for Salary
PwC
Median ceiling ~$280K
Best for Remote
PwC
0.0% remote positions
Most Roles Available
PwC
587 open AI positions
Quick Verdict
For compensation, PwC offers significantly higher pay, with median salary ceilings roughly 609% above Burlington Stores. Both companies are actively hiring with a similar number of open AI roles (587 at PwC vs 352 at Burlington Stores).
Which Should You Choose?
Choose PwC if you prioritize:
- higher compensation with median salary ceilings above the competition
- broader role variety across 4 different AI job categories
- more open positions (587 active AI roles)
- working with Bedrock, Llama, Langchain
Choose Burlington Stores if you want:
- working with Power Bi, Tableau, Python
- 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
PwC currently shows higher median salary ceilings for AI positions. PwC ranges around $55K - $410K while Burlington Stores ranges around $24K - $105K. 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.
PwC offers more remote opportunities at 0.0% of their AI roles. PwC is at 0.0% remote while Burlington Stores 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.
PwC focuses on AI/ML Engineer, Data Scientist roles, while Burlington Stores emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: PwC prioritizes Aws, Rust, Rag, while Burlington Stores looks for Rag, Rust, Power Bi. 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. PwC (Unknown) has 587 open AI roles, while Burlington Stores (Unknown) has 352. 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 939 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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