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AI Infrastructure Engineer Job in USA 2026 with H-1B Visa Sponsorship

February 10, 2026 4:06 pm

AI Infrastructure Engineer Job in USA 2026 with H-1B Visa Sponsorship

A leading U.S.-based technology firm is hiring an AI Infrastructure Engineer for a full-time remote position with H-1B visa sponsorship available for qualified international candidates. This opportunity is designed for professionals seeking long-term career growth in the United States under the 2027 H-1B cap or via H-1B transfer. Candidates currently on OPT, CPT, H4 EAD, TN, E3, or other eligible non-immigrant visa categories are encouraged to apply.

This role is ideal for engineers experienced in building and scaling AI/ML platforms, GPU-based workloads, and cloud-native infrastructure environments. The position offers exposure to enterprise-grade AI systems supporting high-performance and distributed computing initiatives.

About Role

As an AI Infrastructure Engineer, you will design, deploy, and optimize infrastructure platforms that power machine learning and artificial intelligence workloads. The position requires hands-on expertise in GPU computing, container orchestration, and cloud architecture to ensure secure, scalable, and high-performance AI systems.

You will work closely with data scientists, machine learning engineers, and DevOps teams to enable efficient AI model training, inference pipelines, and distributed compute environments. This role demands strong technical depth, problem-solving capability, and confidence in managing production-scale AI infrastructure.

About Hiring Firm

Bright Vision Technologies is a U.S.-based software development and technology consulting firm specializing in automation, digital transformation, and scalable enterprise systems. The company partners directly with clients to deliver high-impact technical solutions across cloud computing, AI platforms, and modern application development.

As a direct W2 employer, Bright Vision Technologies does not engage third-party brokers or C2C arrangements. The organization provides structured visa sponsorship pathways and is committed to equal employment opportunity and inclusive workplace practices.

Responsibilities

Design and maintain AI/ML infrastructure supporting GPU-based workloads
Deploy and manage Kubernetes and Docker container environments
Optimize GPU computing environments using NVIDIA CUDA
Implement Infrastructure as Code solutions using Terraform
Manage distributed systems and high-performance computing clusters
Configure storage and networking solutions for AI workloads
Build and maintain CI/CD pipelines for infrastructure automation
Monitor system performance, observability, and security controls
Collaborate with engineering teams to support model training and deployment
Troubleshoot infrastructure issues across cloud platforms (AWS, Azure, GCP)

Requirements

3–5 years of hands-on experience in AI/ML infrastructure or cloud engineering
Strong expertise in Kubernetes, Docker, and Linux environments
Experience with GPU computing and NVIDIA CUDA
Proficiency in Python scripting for infrastructure automation
Experience with Terraform or Infrastructure as Code frameworks
Knowledge of distributed systems and high-performance computing concepts
Familiarity with monitoring and observability tools
Strong understanding of cloud platforms (AWS, Azure, or GCP)
Ability to pass a technical coding assessment
Eligibility for H-1B sponsorship or transfer

Click Here to Apply

Conclusion

This is a high-impact opportunity for international AI infrastructure professionals seeking structured H-1B sponsorship within a direct-hire U.S. technology firm. With remote flexibility, enterprise-scale AI projects, and long-term visa support, this role offers a strategic pathway to advance your career in the United States technology sector. Qualified candidates are encouraged to apply promptly.