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AI Quality Infrastructure Engineer Job in USA 2026 with Visa Sponsorship

February 20, 2026 4:00 pm

AI Quality Infrastructure Engineer Job in USA 2026 with Visa Sponsorship

A global technology delivery partner is hiring an AI Quality Infrastructure Engineer for enterprise AI operations in Mountain View, United States, with additional placement options across California, New York, and Texas. This full-time contract-to-permanent opportunity supports H-1B visa sponsorship and nearby relocation, making it suitable for senior international engineers seeking U.S. exposure in large-scale AI reliability systems.

This role targets experienced infrastructure professionals who specialize in building production-grade quality systems for modern AI platforms.

About Role

As an AI Quality Infrastructure Engineer, you will design and implement automated quality frameworks that ensure reliability across large language model (LLM) ecosystems. Rather than manually monitoring models, you will engineer scalable pipelines that continuously evaluate AI performance using synthetic testing, observability tooling, and automated incident response.

You’ll sit at the intersection of AI research and production engineering, building “LLM-as-a-judge” services, quality scoring engines, and backend pipelines that stream model telemetry into monitoring platforms. Your work will directly power alerting logic, data drift detection, and ML validation systems that support enterprise-grade deployments. This is a senior-level builder role focused on automation, system design, and operational excellence within high-volume AI environments.

About Hiring Firm

The engagement is delivered through a U.S.-based implementation partner supporting a large service-industry enterprise client. The organization specializes in cloud infrastructure, AI engineering, and production reliability, offering structured onboarding and employment-based visa sponsorship for qualified international candidates.

Responsibilities

Build automated quality tooling across the AI and agent development lifecycle
Develop “LLM-as-a-judge” scoring engines and prompt testing pipelines
Engineer production monitoring systems using synthetic tests and observability frameworks
Create synthetic data generators for stress testing and benchmarking
Build rapid labeling pipelines for AI agents
Stream model logs and traces into monitoring platforms for real-time visualization
Automate alerting and incident response logic based on performance thresholds
Develop services to detect data drift and anomalous input patterns
Design scalable ML infrastructure for validation, gatekeeping, and deployment readiness

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
9–15 years of professional engineering experience
Expert proficiency in Python and SQL
Experience building reusable APIs, libraries, and automation services
Strong background in monitoring-as-code (Splunk, Amplitude, PagerDuty or similar)
Deep understanding of LLM systems and testing non-deterministic models
Proven system design skills for high-throughput, fault-tolerant platforms
Builder mindset with strong problem-solving and automation instincts
Eligibility for H-1B sponsorship or transfer

Click Here to Apply

Conclusion

This position offers H-1B visa sponsorship, relocation flexibility, and the opportunity to architect core quality infrastructure for enterprise AI platforms. If you’re a senior engineer passionate about automating reliability at scale and shaping how production AI systems are monitored and governed, this Mountain View–based role provides a powerful pathway into the U.S. AI engineering ecosystem for 2026. Apply early to align with sponsorship timelines and client onboarding.