Senior Level AI Infrastructure Engineer Jobs

Senior level ai infrastructure engineer jobs place experienced engineers in charge of architectural decisions, platform reliability at scale, and the cross-functional teams building and operating the systems beneath production AI. Hiring is concentrated in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with a mix of on-site, hybrid, and remote openings from employers like Aledade, Okta, and FINRA hiring at this level now.

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Overview

Open roles28
Top stateCalifornia
Top employerAledade
Top citySan Francisco, CA
Work type63% On-site
Top industryTechnology

Showing 5 of 28+ Senior Level AI Infrastructure Engineer jobs

Senior Consultant - AI Infrastructure Services
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Added 1d ago
Senior Consultant - AI Infrastructure Services
Dell Technologies
Hopkinton, Massachusetts
Business Analysis
Business Strategy
Consulting & Professional Services
$141k - $183k/yr
Remote (US)
Bachelor's degree in information technology
10,000+

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Artificial Intelligence Engineer
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Added 3d ago
Artificial Intelligence Engineer
Signature IT World Inc
Massachusetts
Software Engineering
Data Engineering
Cloud & DevOps
On-Site
None

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Lead AI Data Center Infrastructure Engineer
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Added 3w ago
Lead AI Data Center Infrastructure Engineer
Trane Technologies
Davidson, North Carolina
Specialized Engineering
Mechanical Engineering
Industrial & Manufacturing Engineering
Engineering (Non-Software)
Manufacturing Engineering
$96k - $199k/yr
Remote (US)
Bachelor's
10,000+

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AI Agent & Infrastructure - Lead Engineer
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Added 1mo ago
AI Agent & Infrastructure - Lead Engineer
FINRA
McLean, Virginia
Software Engineering
Cloud & DevOps
Data Science & Analytics
AI (Artificial Intelligence)
DevOps
$114k - $249k/yr
Hybrid
Bachelor's
1,001-5,000

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Principal Engineer - AI Data and Infrastructure
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Added 3mo ago
Principal Engineer - AI Data and Infrastructure
Aledade
Remote
Software Engineering
Cloud & DevOps
Data Engineering
Technical Product & Program Management
Technical Program Management
Remote (US)
Bachelor's

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Senior Level AI Infrastructure Engineer Job Market

Who's Hiring

Aledade2 open roles
Okta1 open role
FINRA1 open role

Top Industries Hiring

  • Technology & Software
  • Consulting & Professional Services
  • Banking & Financial Services
  • Science & Research
  • Healthcare & Medical Services

Senior Level AI Infrastructure Engineer Jobs: Frequently Asked Questions

How do I get a senior level ai infrastructure engineer job?

Employers at this level look for engineers who have owned production AI infrastructure end-to-end, not just contributed to it. Demonstrating that you have designed distributed training or inference systems, driven reliability improvements with measurable outcomes, and mentored junior engineers gives you a clear edge. A portfolio of architectural decisions you led, including the tradeoffs you navigated, carries more weight than certifications alone.

Which companies hire senior level ai infrastructure engineers?

Companies hiring senior level ai infrastructure engineers right now include Aledade, Okta, and FINRA, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of hyperscalers, enterprise technology firms, and fast-scaling AI-native companies that need engineers who can own platform direction rather than just execute on it.

Are there remote senior level ai infrastructure engineer jobs?

Yes, though availability varies by employer and role scope. About 38% of senior level ai infrastructure engineer openings are remote or hybrid as of November 2026, reflecting strong demand from distributed engineering organizations willing to hire experienced infrastructure talent without requiring relocation. On-site roles tend to cluster at companies running proprietary data centers or regulated environments.

What makes an ai infrastructure engineer role senior level?

A senior level ai infrastructure engineer role is defined by ownership and scope rather than task execution. Senior engineers set the technical direction for infrastructure platforms, make architectural tradeoffs that affect reliability, cost, and scalability across the organization, and are expected to mentor engineers and influence engineering culture. The work shifts from completing assigned projects to identifying what needs to be built and leading the effort to deliver it.

Which industries hire the most senior level ai infrastructure engineers?

Senior level ai infrastructure engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate AI systems at a scale where infrastructure reliability, training efficiency, and inference cost are business-critical problems that require experienced engineering ownership rather than generalist support.