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Remote Ai Infrastructure Engineer Jobs in Portland, OR

Hiive

Developer Experience Engineer

Vancouver, WA · On-site +1

Familiarity with infrastructure as code, containers, cloud platforms, or deployment automation. * Experience creating internal enablement programs, engineering playbooks, or AI adoption guidelines.

PacifiCorp

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... A minimum of two or more years' experience in heavy civil infrastructure projects or related ...

Hiive

Principal Product Engineer

Vancouver, WA · On-site +1

You will leverage AI tools and techniques to enhance development velocity, code quality, and ... Previous experience working with DevOps (infrastructure and deployments). Preferable Experience:

PacifiCorp

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... A minimum of two or more years' experience in heavy civil infrastructure projects or related ...

Ralliant

Principal Platform Engineer

Beaverton, OR · On-site +1

Support and mentor engineering teams on best practices for infrastructure, automation, and platform design * Evaluate and integrate new technologies (including AI-enabled platforms) with a focus on ...

US Bank

End Point Systems Engineer

Gresham, OR · Remote

... and infrastructure services. Subject matter expert in multiple hardware and software platforms ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

US Bank

End Point Systems Engineer

Gresham, OR · Remote

... and infrastructure services. Subject matter expert in multiple hardware and software platforms ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

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All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Portland, OR

Remote Ai Infrastructure Engineer information

See Portland, OR salary details

$49.3K

$134.8K

$193K

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

As of Aug 16, 2026, the average yearly pay for remote ai infrastructure engineer in Portland, OR is $134,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $149,500.00 per year, depending on experience, location, and employer.

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 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 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 Portland, OR?

The most popular types of Ai Infrastructure Engineer jobs in Portland, OR are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Portland, OR?

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

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

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Portland, OR 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 Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $134,754 per year, or $64.8 per hour.

Staff Software Engineer, AI Platform (US - Remote or Calgary)

Syndio

Portland, OR • Remote

Full-time

Posted 15 days ago

Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role:

Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience.

We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams.

What You'll Work On
  • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP).
  • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it.
  • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use.
  • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract.
  • Clarifying, designing, and implementing compliance and legal requirements for Syndi.
What We're Looking For
  • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes).
  • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue.
  • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts.
  • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped.
  • Strong written communication — our operating model runs on design docs and PR review across team boundaries.
  • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.
Why you'll love it here: