AI Infrastructure Engineer Jobs (2026)
AI Infrastructure Engineers build the foundational systems that power modern AI: GPU clusters, distributed training frameworks, model serving platforms, and the tooling that enables ML teams to iterate quickly. As model sizes and training costs grow, this role has become critical at every AI company.
Last updated: June 27, 2026
Latest AI Infrastructure Engineer Jobs
View all jobsSenior Automation & AI Platform Engineer
AI Infrastructure Engineer
MLOps Engineer - Energy AI Platform
Senior ML Platform / ML Infrastructure Engineer II
Senior Automation & AI Platform Engineer
Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, London, Up to £120,000
Sr. Software Development Engineer (GPU Machine Learning Performance)
Staff Software Engineer, ML Training Infrastructure
AI ML Infrastructure Engineer
Robotics Internship in Nagpur, Roorkee, Bhopal, Noida, Hyderabad, Guwahati, Coimbatore, Ahmedabad, Chennai, Delhi, Bangalore, Kanpur Dehat, Pune, Indore, Lucknow (Hybrid)
Senior ML Platform / ML Infrastructure Engineer II
AI Engineer – Generative AI Platforms
Senior Platform Engineer - AI Infrastructure & Observability (m/f/d)
Robotics Internship in Nagpur, Roorkee, Bhopal, Noida, Hyderabad, Guwahati, Coimbatore, Ahmedabad, Chennai, Delhi, Bangalore, Kanpur Dehat, Pune, Indore, Lucknow (Hybrid)
Robotics Internship in Nagpur, Roorkee, Bhopal, Noida, Hyderabad, Guwahati, Coimbatore, Ahmedabad, Chennai, Delhi, Bangalore, Kanpur Dehat, Pune, Indore, Lucknow (Hybrid)
Robotics Internship in Nagpur, Roorkee, Bhopal, Noida, Hyderabad, Guwahati, Coimbatore, Ahmedabad, Chennai, Delhi, Bangalore, Kanpur Dehat, Pune, Indore, Lucknow (Hybrid)
AI Platform Engineer (NLP) - Munich
Site Reliability Engineer, AI/ML Infrastructure
Robotics Internship in Noida, Hyderabad, Bhopal, Pune, Lucknow, Chennai, Ahmedabad, Guwahati, Indore, Coimbatore, Kanpur Dehat, Delhi, Bangalore, Nagpur, Roorkee (Hybrid)
Senior Researcher - Cloud and AI Infrastructure, Microsoft Research
Frequently Asked Questions
What does an AI Infrastructure Engineer do?
AI Infrastructure Engineers design and manage GPU clusters, build distributed training systems, optimize model serving for low latency and high throughput, develop ML platforms and tooling, and ensure reliability of AI production systems. They work at the intersection of systems engineering, distributed computing, and machine learning. Python is foundational (47-58% of AI listings), alongside Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure). Rust is emerging as a valuable complementary language for high-performance inference components.
What is the salary for AI Infrastructure Engineers?
AI Infrastructure Engineers earn $160K to $260K for mid-level roles and $250K to $450K+ for senior positions at top companies. GPU expertise and experience with large-scale training systems command premium compensation, with CUDA specialists earning $180K-$350K+. US-based roles average $147K-$176K, with SF, NYC, and Boston carrying 20-50% premiums. AI job openings have surged 25.2% year-over-year, and infrastructure roles are among the most in-demand as companies scale their AI systems.
What is the demand outlook for AI infrastructure roles?
Demand is extremely strong and growing. AI engineer roles have surged 143% year-over-year, and infrastructure is the bottleneck for most AI deployments. MLOps is evolving into LLMOps, creating new infrastructure challenges and job opportunities. Workers with AI infrastructure skills earn approximately 25% more than peers without AI expertise. About 56% of AI professionals plan to job-hunt in 2026, and companies are offering premium compensation to retain infrastructure talent.
AI Job Insights for AI Infrastructure Engineer Jobs
Salary Range (Yearly, USD)
$60K - $490K
Median $173K from 82 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
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In-Demand Skills
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