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

eNett

SRE Architect, AI-Powered Reliability

Boston, MA · On-site

$62 - $82.25/hr

Define and lead WEX's AI-Powered Reliability Engineering strategy, driving adoption of SRE agents across the software lifecycle-from design and development through deployment and operations, to ...

WEX

SRE Architect, AI-Powered Reliability

Boston, MA · On-site

$62 - $82.25/hr

Define and lead WEX's AI-Powered Reliability Engineering strategy, driving adoption of SRE agents across the software lifecycle-from design and development through deployment and operations, to ...

DraftKings, Inc.

Database Reliability Engineer

Boston, MA · On-site

$62 - $82.25/hr

To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Database Reliability Engineer, you'll support the reliability, scalability, and operational ...

DraftKings

Database Reliability Engineer

Boston, MA · On-site

$62 - $82.25/hr

To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Database Reliability Engineer, you'll support the reliability, scalability, and operational ...

Whoop

Senior Reliability Engineer

Boston, MA · On-site

$150K - $195K/yr

Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted ... ASQ Certified Reliability Engineer (CRE) certification preferred This role is based in the WHOOP ...

DraftKings, Inc.

Lead Site Reliability Engineer

Boston, MA · On-site

$62 - $82.25/hr

At DraftKings, AI is becoming an integral part of both our present and future, powering how work ... The Crown Is Yours As a Lead Site Reliability Engineer, you'll set the reliability standard across ...

DraftKings

Lead Site Reliability Engineer

Boston, MA · On-site

$62 - $82.25/hr

At DraftKings, AI is becoming an integral part of both our present and future, powering how work ... The Crown Is Yours As a Lead Site Reliability Engineer, you'll set the reliability standard across ...

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

... , and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is ...

New

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

... , and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is ...

New

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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 30, 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 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.

Ai Reliability Engineer jobs near you

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Boston, MA • Remote

$30 - $80/hr

Full-time

Posted 3 days ago

New

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.