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Ai Reliability Engineer Jobs in Seattle, WA (NOW HIRING)

Axon

Senior Site Reliability Engineer I

Seattle, WA · On-site

$64.75 - $86.25/hr

Leverage AI tooling and agentic workflows to accelerate engineering delivery and operational ... or site reliability engineering. * Experience designing and operating cloud platforms at scale ...

Google

Site Reliability Manager, Ads

Kirkland, WA · On-site

$64.75 - $86/hr

... E programs to redefine reliability with AI. * Align team members on tasks to ensure the team delivers on its priorities, ensuring that the team's annual objectives are aligned with dev partners and ...

CoreWeave

Reliability Lead, Common Services

Bellevue, WA · On-site

$64.25 - $85.50/hr

... that power our AI cloud products and internal engineering teams. From authentication and ... As Reliability Lead, Common Services , you will be responsible for defining the reliability ...

Cognitiv

Senior Site Reliability Engineer

Bellevue, WA · On-site

$160K - $210K/yr

As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving ... The Role We are looking for a senior site reliability engineer to work on expanding our global ...

Cognitiv

Senior Site Reliability Engineer

Bellevue, WA · Hybrid

$160K - $210K/yr

As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving ... The Role We are looking for a senior site reliability engineer to work on expanding our global ...

Microsoft

Site Reliability Engineer II

Redmond, WA · On-site

$131.40K - $215.40K/yr

Overview The Cloud & AI organization accelerates Microsoft's mission and bold ambitions to ensure ... We are looking for a Site Reliability Engineer II to help manage the critical infrastructure our ...

Hive

Senior Site Reliability Engineer

Seattle, WA · On-site

$160K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS ...

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Ai Reliability Engineer information

See Seattle, WA salary details

$69.4K

$134.3K

$160.5K

How much do ai reliability engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for ai reliability engineer in Seattle, WA is $134,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $146,800.00 per year, depending on experience, location, and employer.

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 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 AI Reliability Engineers?

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 is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI executives, chief AI officers, or lead AI engineers at top technology companies, often involving advanced expertise in machine learning, deep learning, and AI strategy. These positions usually require extensive experience, specialized skills, and may include performance-based bonuses or stock options that contribute to the high total compensation.

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 Seattle, WA? For Ai Reliability Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Seattle, WA look for? The top searched job categories for Ai Reliability Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Ai Reliability Engineer jobs? Cities near Seattle, WA with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Staff Site Reliability Engineer - Observability

Staff Site Reliability Engineer - Observability

Okta

Bellevue, WA • On-site

$194K - $267K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Position Overview:
We are seeking a highly technical Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. In this role, you will move beyond simple monitoring to delivering a world class, comprehensive, scalable Observability Platform that enables our SRE teams and business partners. You will treat infrastructure as code-utilizing Terraform and strong coding proficiency in Go, Python, or Ruby-to automate the deployment of agents and collectors across complex distributed systems.
Key Responsibilities
  • Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform.
  • Splunk Engineering: Optimize the collection, processing, and storage of log data to ensure high reliability and low latency of our Splunk services
  • Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements and "observability-driven development."
  • Automation: Eliminate "toil" by automating the deployment and scaling of observability agents and collectors.

Required Skills & Experience (The Essentials)
Log Management: Minimum 5+ Experience scaling and managing Splunk Cloud at scale (1000+ SVCs), including Workload Management (WLM) and HEC optimization. Visualization: Expertise in creating intuitive, actionable Splunk dashboards that correlate data across multiple sources.SRE Mindset: Minimum 5+ years of experience in an SRE, DevOps, or Systems Engineering role with a focus on high-availability systems.
  • Programming Proficiency: Strong coding skills in SPL, Go for building internal tools and automating workflows.
  • Distributed Systems: Deep understanding of Linux internals, networking (TCP/IP, DNS, Load Balancing), and container orchestration (Kubernetes/EKS).
  • Problem Solving: A data-driven approach to debugging complex, cross-service performance bottlenecks.

Bonus Skills (The "Nice-to-Haves")
  • Telemetry Standards: Hands-on experience with OpenTelemetry (OTel), Vector, or similar frameworks for instrumenting applications.
  • Charge-back app: Experience in implementing Splunk charge-back app for usage reporting

Cloud Platforms: Experience managing observability native tools within AWS or GCP.
Additional requirements:
  • This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
  • This person must attend in person onboarding in our San Francisco office the first week of employment.

#LI-MM
#LI-Hybrid
P14596_3372199
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:
$194,000-$267,000 USD
The Okta Experience
  • Supporting Your Well-Being
  • Driving Social Impact
  • Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

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