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Ai Reliability Engineer Jobs in Worcester, MA (NOW HIRING)

ZoomInfo

DevOps Engineer III

Waltham, MA · On-site

$57 - $78/hr

... AI-driven anomaly detection where applicable. * Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best practice. * Collaborate with engineers and software ...

New

NetApp

Senior Software Engineer

Waltham, MA · On-site

$133K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to derive actionable business intelligence from structured and unstructured logs, events, traces, and metrics using AI and MCP-enabled agentic workflows. * Strong understanding of DevOps / SR ...

SharkNinja

Senior Director, AI Engineering Transformation

Needham, MA · On-site

$196K - $252K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Transform reliability and quality capabilities, failure prediction, DVT/EMC outcome analysis, field ... Strengthen Engineering's contribution to product requirements by building AI systems that surface ...

Waters Corporation

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience. * Collaborate with AI engineers, data ...

Waters Corporation

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience. * Collaborate with AI engineers, data ...

Waters Corporation

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience. * Collaborate with AI engineers, data ...

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Showing results 21-40

All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Worcester, MA

Ai Reliability Engineer information

See Worcester, MA salary details

$60.9K

$117.7K

$140.7K

How much do ai reliability engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai reliability engineer in Worcester, MA is $117,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $128,700.00 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.

What are popular job titles related to Ai Reliability Engineer jobs in Worcester, MA?

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

What job categories do people searching Ai Reliability Engineer jobs in Worcester, MA look for?

The top searched job categories for Ai Reliability Engineer jobs in Worcester, MA are:

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Cities near Worcester, MA with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you

DevOps Engineer III

ZoomInfo

Waltham, MA • On-site

$57 - $78/hr

Other

Posted 2 days ago

New

ZoomInfo rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

39th of 244 rated software companies

Job description

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast.
What You'll do:
  • Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms (Amazon EKS & Google Kubernetes Engine).
  • Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness.
  • Develop and maintain CI/CD pipelines (Jenkins, Argo CD, GitHub Actions) to enable automated testing and deployments.
  • Deploy and support cloud-native data services such as Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, and BigQuery.
  • Leverage AI-powered tooling (e.g., GitHub Copilot, generative-AI chat/ops assistants, and AIOps platforms) to accelerate script generation, configuration validation, and incident troubleshooting.
  • Create automation scripts and internal tooling in Python to streamline DevOps workflows.
  • Assist in establishing monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, or Datadog; incorporate AI-driven anomaly detection where applicable.
  • Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best practice.
  • Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements and company standards.
  • Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams.

What you bring:
  • 4-6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
  • Production experience with AWS and/or Google Cloud Platform data services (e.g., Kinesis, Pub/Sub, Dataflow, BigQuery).
  • Hands-on experience managing containerized workloads on Kubernetes (EKS, GKE, or self-managed clusters).
  • Solid understanding of Terraform (or similar IaC tools) and Git-based workflows.
  • Working knowledge of CI/CD platforms such as Jenkins, Argo CD, and/or GitHub Actions.
  • Proficiency with Python or another scripting language for automation.
  • Familiarity with observability stacks (CloudWatch, Datadog, etc.).
  • Fundamental grasp of SRE principles-service reliability, incident response, and performance monitoring.
  • Effective communication skills and a collaborative mindset.

Preferred Qualifications:
  • Demonstrated experience using AI-powered copilots, chat assistants, or AIOps platforms to accelerate infrastructure work or incident resolution.
  • Experience with workflow orchestration tools (Apache Airflow, Cloud Composer).
  • Exposure to big-data frameworks (Spark, Flink) or modern data-lake architectures.
  • Knowledge of cost-optimization techniques for cloud resources.
  • Familiarity with event-driven architectures and message queues (Kafka, RabbitMQ).
  • Understanding of GitOps workflows and service mesh technologies such as Istio.

#LI-RA1
#LI-Hybrid
Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
$113,400-$178,200 USD
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: 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. ZoomInfo does not administer lie detector tests to applicants in any location.

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