AI infrastructure jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, AI infrastructure appears in 225 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 9% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about AI infrastructure
+Is AI infrastructure in demand in 2026?
Yes. AI infrastructure appears in 225 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 9% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (16% of Machine Learning Engineer postings list it).
+What jobs require AI infrastructure?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require AI infrastructure are Machine Learning Engineer (16% of postings list AI infrastructure), Software Engineer (13% of postings list AI infrastructure), Technical Program Manager (6% of postings list AI infrastructure).
+What skills are commonly paired with AI infrastructure?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), AI infrastructure most often appears alongside machine learning, Generative AI, deep learning, Distributed systems, Python.
+Where is AI infrastructure most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring AI infrastructure are San Francisco, New York City, London, Berlin, Menlo Park, according to the Skillenai jobs index.
+How can I keep up with new AI infrastructure content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI infrastructure alongside the jobs index. You can subscribe to a daily email digest of new AI infrastructure content from your Skillenai account.
Weekly job postings requiring AI infrastructure — last 90 days
Job titles most likely to require AI infrastructure
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 36 | 16.0% |
| Software Engineer | 30 | 13.3% |
| Technical Program Manager | 13 | 5.8% |
| Product Manager | 12 | 5.3% |
| Engineering Manager | 10 | 4.4% |
| Solutions Architect | 10 | 4.4% |
| Staff Software Engineer | 7 | 3.1% |
| AI Engineer | 6 | 2.7% |
| ML Engineer | 4 | 1.8% |
| AI Infrastructure Engineer | 3 | 1.3% |
Top metros hiring for AI infrastructure
| Name | Postings | Share |
|---|---|---|
| San Francisco | 33 | 41.8% |
| New York City | 19 | 24.1% |
| London | 9 | 11.4% |
| Berlin | 4 | 5.1% |
| Menlo Park | 4 | 5.1% |
| Austin | 3 | 3.8% |
| Sydney | 3 | 3.8% |
| Bellevue | 2 | 2.5% |
| Bengaluru | 2 | 2.5% |
Skills commonly paired with AI infrastructure
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Explore related pages
- Machine Learning Engineer
- Software Engineer
- Technical Program Manager
- Product Manager
- Engineering Manager
- Solutions Architect
- Staff Software Engineer
- AI Engineer
- machine learning
- Generative AI
- deep learning
- Distributed systems
- Python
- Artificial Intelligence
- scalable machine learning models
- brain-computer interface
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- b71b6daafab76740
- data_as_of
- 2026-05-17
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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