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Ai Reliability Engineer Jobs in Woonsocket, RI (NOW HIRING)

Axon

Senior Site Reliability Engineer I

Boston, MA · On-site

$62 - $82.25/hr

You will be part of the Observability team within Axon's Site Reliability organization - a focused ... Experience with agentic AI tooling or building LLM-powered developer tools * Strong Linux systems ...

Axon

Senior Site Reliability Engineer I

Boston, MA · On-site

$62 - $82.25/hr

You will be part of the Observability team within Axon's Site Reliability organization - a focused ... Experience with agentic AI tooling or building LLM-powered developer tools * Strong Linux systems ...

Zelis

AIOps Lead, Software Engineering

Boston, MA

You will define and drive the AIOps strategy for the organization, combining cloud operations, observability, automation, SRE practices, and AI/agentic solutions to improve reliability, incident ...

Foley

Senior DevOps Engineer

Boston, MA · Remote

$150K - $190K/yr

... support SaaS and AI platform workloads. * Improve platform reliability, scalability, and ... (SRE), Platform Engineering, or related infrastructure roles. * Deep experience operating and ...

CloudZero

Senior CloudOps Engineer

Boston, MA · Remote

$130K - $190K/yr

As a Senior Site Reliability Engineer you'll be a force multiplier for our engineering organization ... Make our systems legible to AI tooling as well as to people, starting with the service and ...

Axon

Senior Site Reliability Engineer I

Boston, MA · On-site

Experience with agentic AI tooling or building LLM-powered developer tools * Deep experience with microservice architectures and patterns; experience migrating monoliths to microservices is a plus

Axon

Senior Site Reliability Engineer I

Boston, MA · On-site

$62 - $82.25/hr

Experience with agentic AI tooling or building LLM-powered developer tools * Deep experience with microservice architectures and patterns; experience migrating monoliths to microservices is a plus

Wellington Management

Software Engineer

Boston, MA · On-site

Exposure to Site Reliability Engineering (SRE) principles * AI-assisted development tools (e.g ... GitHub Copilot, Claude Code or similar) What We Value * Strong problem-solving and communication ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Woonsocket, RI

Ai Reliability Engineer information

See Woonsocket, RI salary details

$58.5K

$113K

$135.1K

How much do ai reliability engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai reliability engineer in Woonsocket, RI is $113,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $123,600.00 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 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 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.
Ai Reliability Engineer jobs near you

Senior Site Reliability Engineer

DraftKings, Inc.

Boston, MA • On-site

Full-time

Posted 27 days ago

DraftKings rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

3rd of 15 rated gambling companies

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
As a Senior Site Reliability Engineer, you'll build and scale the critical infrastructure behind every product. In this role, you'll take on complex challenges across global data centers, multiple cloud platforms, and on-premise systems-designing automation-first solutions that elevate performance and eliminate operational friction. You'll be trusted to drive stability at scale, influence architectural decisions, and build tools that empower our teams to move fast and deliver reliably. This is where your impact won't just be felt, it'll be foundational.
What You'll Do
  • Drive stability and scalability across our global compute platform spanning numerous data centers, multiple public clouds, and on-premise environments, serving as the foundation for every product.
  • Operate and evolve our GitOps delivery model, using Rancher Fleet and Flux with Helm to deploy core cluster services and application workloads declaratively and repeatably.
  • Build self-healing, fault-tolerant infrastructure and internal tooling that eliminates repetitive operational work and reduces toil for both platform and application teams.
  • Own cluster autoscaling and capacity strategy, including Karpenter, HPA and KEDA, and predictive scaling driven by event and calendar data.
  • Define SLOs and reliability metrics for platform components, using Datadog and our logging pipeline to surface cluster and workload health.
  • Support technical growth by sharing knowledge, participating in design discussions, and contributing to a collaborative team culture, including on-call rotation.

What You'll Bring
  • Bachelor's degree in Computer Science or relevant education, experience, and training.
  • At least 4 years managing distributed cloud and on-premise environments at scale, with strong hands-on AWS experience. Exposure to GCP, vSphere, or Nutanix is a plus.
  • Deep expertise in container orchestration with Kubernetes, including the ability to design, scale, and troubleshoot complex workloads.
  • Strong experience developing software for automation and infrastructure tooling such as Go and Python.
  • Working knowledge of networking and Linux-based systems, including container runtimes such as Docker and containerd, packet-level debugging, and kernel troubleshooting.
  • Experience with Infrastructure as Code (IaC) and configuration management tools to ensure scalable and repeatable infrastructure provisioning.

#LI-MF1
Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 128,000.00 USD - 160,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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