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Remote Ai Infrastructure Engineer Jobs in Seattle, WA

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on ...

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... Design and build infrastructure, tooling, and developer workflows that improve productivity ...

Wsgr

Principal Cloud Infrastructure Engineer

Seattle, WA · On-site +1

$147K - $198K/yr

The Principal Cloud Infrastructure Engineer, under the direction of the Senior manager of ... This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ...

OpenAI

Data Center Compute Infrastructure

Seattle, WA

$230K - $490K/yr

As the demand for frontier AI grows, so does the complexity of the systems required to support it. ... You'll work with teams across research, engineering, hardware, operations, and infrastructure to ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Showing results 21-40

All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Seattle, WA

Remote Ai Infrastructure Engineer information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

How much do remote ai infrastructure engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote ai infrastructure engineer in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Seattle, WA?

The most popular types of Ai Infrastructure Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Seattle, WA?

For Remote Ai Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Seattle, WA with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $144,605 per year, or $69.5 per hour.

Mental Health Expert - Remote

YO AI Labs

Seattle, WA • Remote

$200 - $350/hr

Full-time

Posted 6 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.