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Ai Reliability Engineer Jobs in Raleigh, NC (NOW HIRING)

CYNET SYSTEMS

AI Developer- Senior

Raleigh, NC · On-site

$90 - $95/hr

... E on observability, governance, and best practices. * Support development teams in embedding AI into both new and existing applications while ensuring scalable, secure, and policy-compliant ...

CYNET SYSTEMS

AI Developer- Senior

Raleigh, NC · On-site

$90 - $95/hr

... E on observability, governance, and best practices. Support development teams in embedding AI into both new and existing applications while ensuring scalable, secure, and policy-compliant ...

NetApp

Senior Software Engineer

Morrisville, NC · On-site

$114K - $151K/yr

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 ...

LexisNexis

Principle AWS Cloud Engineer

Raleigh, NC · On-site +1

$54.25 - $72.50/hr

Our company leads in deploying AI and advanced technologies to the legal market, enhancing ... Experience with observability and SRE practices, including monitoring, logging, alerting, incident ...

LexisNexis

Principle AWS Cloud Engineer

Raleigh, NC · On-site

$54.25 - $72.50/hr

Our company leads in deploying AI and advanced technologies to the legal market, enhancing ... Experience with observability and SRE practices, including monitoring, logging, alerting, incident ...

GEI Consultants

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

What You'll Do As an AI Automation Engineer, you will help shape how work is automated ... Establish platform standards for development, deployment, monitoring, reliability, and governance ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

What You'll Do As an AI Automation Engineer, you will help shape how work is automated ... reliability and operational excellence • Mentor engineers and implementation partners while ...

LexisNexis

Principal AWS Cloud Engineer-2

Raleigh, NC · On-site +1

Our company leads in deploying AI and advanced technologies to the legal market, enhancing ... Experience with observability and SRE practices, including monitoring, logging, alerting, incident ...

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Showing results 41-60

All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Raleigh, NC

Ai Reliability Engineer information

See Raleigh, NC salary details

$59.3K

$114.7K

$137.1K

How much do ai reliability engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai reliability engineer in Raleigh, NC is $114,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $125,400.00 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.

What are popular job titles related to Ai Reliability Engineer jobs in Raleigh, NC?

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

What job categories do people searching Ai Reliability Engineer jobs in Raleigh, NC look for?

The top searched job categories for Ai Reliability Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Reliability Engineer jobs?

Cities near Raleigh, NC with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you

AI Developer- Senior

CYNET SYSTEMS

Raleigh, NC • On-site

$90 - $95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

Job Overview:

Pay Range: $90.00hr - $95.00hr

Requirement/Must Have:

  • Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise apps, including security configuration, APIM, and limits.
  • Experience guiding application teams on AI integration strategies.
  • Strong development background specializing in Azure AI platform enablement.
  • Experience with C#, Vue.js, Python, and the Azure ecosystem.
  • Ability to attend on-site meetings or task-specific activities in the Raleigh area when required.

Responsibilities:

  • Develop and guide AI integrations using C#, Vue.js, Python, and Azure services.
  • Implement Azure OpenAI and Copilot Studio features in new and existing applications.
  • Support teams with prompt engineering, API design, and secure AI adoption.
  • Ensure scalable, performant AI workloads across Azure platforms.
  • Collaborate with DevOps/SRE on observability, governance, and best practices.
  • Support development teams in embedding AI into both new and existing applications while ensuring scalable, secure, and policy-compliant implementations.

Nice to Have:

  • Experience with scaling AI workloads.
  • Experience working with app teams to modernize .net, c#, vueJS, python apps re-platform to azure.
  • Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.
  • Experience with enterprise AI integration patterns.
  • Familiarity with scaling AI workloads.
  • AI-102, AZ-105, AZ-305, AZ-400 and other Azure certifications.

Skills:

  • Azure OpenAI.
  • Copilot Studio.
  • C#.
  • Vue.js.
  • Python.
  • Azure APIM.
  • Bicep.
  • Terraform.
  • Azure DevOps.
  • Prompt Engineering.
  • API Design.

Qualification And Education:

  • Minimum 3+ years of experience integrating Azure OpenAI and Copilot Studio into enterprise applications.
  • Minimum 2+ years of experience guiding application teams on AI integration strategies.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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