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Ai Reliability Engineer Jobs in Oregon (NOW HIRING)

Swiftly

Engineering Manager

OR · On-site +1

Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 ... , or software engineering, including 2+ years managing engineers * Recent hands-on experience ...

Robots and Pencils

Staff AI Engineer

OR · On-site +1

$177K - $209K/yr

You'll be joining real, in-flight work where reliability, security, and scalability are critical. You'll establish engineering standards, raise the bar on how we build AI systems, and contribute to ...

Nvidia

Senior Storage Software Engineer, DGXC Data Services

OR · On-site +1

$122K - $161K/yr

Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices ...

Particle41

AI Engineer

OR · On-site +1

AI Engineer Role Overview: As an AI Engineer at Particle41 you will design, develop and deploy ... Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and ...

Intel

AI Solutions Engineer

Hillsboro, OR · On-site

$133K - $188K/yr

Conducts analysis and makes reliable engineering recommendations to ensure reliability/resiliency of the AI infrastructure. * Monitors and reports on utilization and plans continuous process ...

G-P

Staff AI Cloud Engineer

OR · On-site +1

$180K - $225K/yr

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over ... Improve CI/CD, testing, observability, reliability, security, and developer experience. * Create ...

USA Gomobile Inc

AI Engineer

Hillsboro, OR · On-site

The AI Engineer will play a key role in advancing our artificial intelligence capabilities by ... reliability, and expert service at the forefront of its business model.

USA Gomobile Inc

AI Engineer

Hillsboro, OR · On-site

The AI Engineer will play a key role in advancing our artificial intelligence capabilities by ... reliability, and expert service at the forefront of its business model.

LTS

AI Platform and Harness Engineer

OR · On-site +1

Troubleshoot production AI issues and continuously improve platform reliability, scalability, security, and user experience. * Document engineering standards, AI platform architecture, evaluation ...

G-P

Lead AI Software Engineer, AI Platform & Architecture

OR · On-site +1

$180K - $225K/yr

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over ... Improve CI/CD, testing, observability, reliability, security, and developer experience. * Create ...

Tebra

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Implement error handling, observability, and reusable design patterns to ensure reliability and ... AI, or software engineering, with 1+ year hands-on in Workato. * Proven expertise with Enterprise ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... reliability, and output groundedness - Optimizing open-weight language models, including LLaMA ...

Tebra

Staff Software Engineer, AI Engineering

OR · On-site +1

Integrate LLMs, ML models, and external AI services into existing systems using strong engineering patterns for reliability, observability, and maintainability. * Build workflows that use AI in a ...

Armada

Senior Mission Success Engineer, US Federal

OR · On-site +1

$108K - $147K/yr

... AI Factory workloads in support of mission needs Operational excellence and reliability * Ensure ... Coordinate with Product, Engineering, Security, and Support teams to resolve issues within federal ...

Nvidia

Senior Compiler Engineer - AI

OR · On-site +1

$122K - $161K/yr

Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability ... software engineering and AI/ML experience, preferably in tools or systems development. Strong ...

Teradata Corporation (SE)

Senior AI Engineer

Salem, OR · On-site

$143.50 - $215.20/hr

... scalability, reliability, and performance. * Collaborate with cross-functional engineers and ... Use AI powered engineering tools to improve development quality, speed, and productivity. * Mentor ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Oregon

Ai Reliability Engineer information

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are popular job titles related to Ai Reliability Engineer jobs in Oregon?

For Ai Reliability Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Oregon look for?

The top searched job categories for Ai Reliability Engineer jobs in Oregon are:

What cities in Oregon are hiring for Ai Reliability Engineer jobs?

Cities in Oregon with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you

Engineering Manager

Swiftly

OR • On-site, Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Swiftly is the AI platform purpose-built for retail, serving retailers, wholesalers, and brands. Swiftly's AI agents unify data, automate workflows, and power the marketing that drives measurable business growth. Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 million products, and the closed-loop campaign outcomes of 33,000 stores.

Trusted by leading retailers, wholesalers, and hundreds of iconic brands, Swiftly unifies data across the retail ecosystem to accelerate growth and power the connected, personalized experiences that drive lasting shopper loyalty.


Position Summary:

Swiftly is searching for a Manager of Infrastructure Engineering to lead a small infrastructure team responsible for operating and modernizing our production platform. This is a hands-on player-coach role with an approximately 50/50 split between individual technical contribution and people management. In practice, this role will personally execute important infrastructure initiatives while also setting direction, coaching engineers, and ensuring strong team delivery. The manager will help complete our remaining infrastructure modernization, improve reliability and developer experience, and contribute directly to the technical work required to move key initiatives forward. We are a fast-moving startup, so this role requires strong pragmatic judgment. The right leader can distinguish urgent production risks from important but deferrable improvements, balance reliability and security with engineering capacity and business priorities, and create appropriate guardrails without unnecessarily slowing down development.

The manager will partner closely with engineering, security, compliance, and other technical leaders. Success in this role comes from delivering infrastructure outcomes, creating clarity, and reducing operational and coordination overhead for the broader engineering organization. As an AI-native company, we expect engineering leaders to use AI tooling effectively to accelerate delivery and reduce operational toil.

Strong preference for candidates based in Pacific to Central time zones to support real-time collaboration with our core team.

Responsibilities Include:
  • Balance approximately 50% hands-on individual contribution with 50% people management, directly delivering infrastructure work while leading and developing a small Infrastructure Engineering team
  • Own the reliability and modernization of Swiftly's production infrastructure, including our Kubernetes-based platform on Azure and the remaining migration away from legacy infrastructure
  • Act as a true player-coach, personally driving important infrastructure initiatives through implementation and completion while also setting priorities, coaching engineers, and creating clear accountability
  • Make pragmatic infrastructure decisions based on business impact, balancing reliability, security, technical debt, engineering capacity, and product priorities in a fast-moving startup environment
  • Partner effectively with engineering, security, compliance, and other stakeholders to deliver the infrastructure work needed by the business while keeping ownership boundaries and next steps clear
  • Champion AI-native engineering practices on the team, including the adoption of AI coding assistants and AI-assisted operations to accelerate delivery and reduce toil
  • Other related duties as assigned
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 7+ years of experience in infrastructure, platform, SRE, or software engineering, including 2+ years managing engineers
  • Recent hands-on experience operating production Kubernetes environments in Azure or a comparable public cloud
  • Strong hands-on experience with infrastructure-as-code and modern CI/CD practices, including Argo, Terraform and GitHub-based deployment workflows
  • Experience leading meaningful infrastructure modernization, migration, reliability, or operational improvement initiatives through completion
  • Demonstrated ability to lead and develop engineers while maintaining a substantial hands-on technical contribution, ideally in a role split approximately evenly between individual contributor work and people management
  • Strong judgment in ambiguous, fast-moving environments, with the ability to balance reliability, security, technical debt, engineering capacity, and business priorities
  • Strong communication and collaboration skills, including the ability to work with others remotely and effectively across engineering teams and turn technical concerns into clear, actionable recommendations
  • Hands-on fluency with modern AI development tooling (e.g., Claude Code, Cursor, Copilot) and a track record of using AI to increase engineering throughput
  • Ability to thrive in an ambiguous, fast-paced environment, manage competing priorities, and make sound pragmatic calls
  • This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship
Preferred Qualifications:
  • Experience operating infrastructure on Azure, particularly AKS and other cloud-native platform services
  • Familiarity with Swiftly's infrastructure tooling and patterns, such as ArgoCD, HashiCorp Vault, Grafana, and PostgreSQL
  • Experience partnering with security and compliance teams to implement infrastructure controls for programs such as SOC 2 or ISO 27001
  • Experience using AI-assisted development and operations tooling to improve engineering productivity and reduce operational toil
$190,000 - $210,000 a year
The salary range is based on the candidates experience as it relates to the role.
#LI-Remote
Note: This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

Working For Swiftly
We are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. 
 
Every Swiftly employee: 
-Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment 
-Takes ownership of their domain from the ground up, from inception through deployment to customers 
-Leaves their ego at the door and ensures the best idea leaves the room 
-Is always experimenting with new technologies and learning new skillsets 
 
If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. 
 
Equal Opportunity Employer 
Swiftly is an Equal Employment Opportunity and Affirmative Action Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. 
Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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