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

... reliability, and developer visibility. * Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across ...

... reliability, and developer visibility. * Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across ...

... reliability, and developer visibility. * Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across ...

... reliability, and developer visibility. * Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across ...

... reliability, and developer visibility. * Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across ...

AI Engineer Senior Consultant

Raleigh, NC · Hybrid

$101K - $139K/yr

Establish data/model reliability and cost-performance discipline (data quality, schema evolution ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

... reliability patterns). * 2+ years leading platform/integration engineering to improve ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Principal Software Engineer-Agentic AI

Raleigh, NC · On-site

$131K - $175K/yr

Drive AI system performance and reliability Optimize latency, throughput, and cost efficiency of AI ... Mentor and elevate engineering teams Provide technical leadership, guide architectural decisions ...

Principal Software Engineer-Agentic AI

Raleigh, NC · On-site

$131K - $175K/yr

Drive AI system performance and reliability Optimize latency, throughput, and cost efficiency of AI ... Mentor and elevate engineering teams Provide technical leadership, guide architectural decisions ...

Responsibilities : • Own and extend existing AI platforms and tooling, improving reliability ... engineering ecosystem. • Identify and build AI-powered tooling that creates leverage across the ...

Applied AI Engineer

Raleigh, NC · On-site

$104K - $137K/yr

Responsibilities : • Own and extend existing AI platforms and tooling, improving reliability ... engineering ecosystem. • Identify and build AI-powered tooling that creates leverage across the ...

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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 Jun 9, 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 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 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 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 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 Agentic/Platform Engineer

AI Agentic/Platform Engineer

Toshiba America Business Solutions, Inc.

Raleigh, NC • On-site, Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

AI Agentic/Platform Engineer

Salary Range: $130,000.00 to $170,000.00 depending on experience.

Toshiba America Business Solutions, Inc. (TABS) has an exciting AI Agentic/Platform Engineer opportunity to work remotely. 

Join a global powerhouse with a 150-year heritage when you become a part of Toshiba Business Solutions. Toshiba is an industry leader in digital displays, document security and software solutions. We help businesses print smarter, work more securely, improve workflow, and communicate better. Our reputation in the industry is due in large part to the outstanding care our people provide.   

Summary: The AI Platform Lead & Agentic Automation Engineer is responsible for owning and operating an enterprise,
AI-agnostic AI platform while remaining hands-on in the design, development, and support of agent-driven automations and workflows. This role establishes platform standards, architecture, and reliability while building intelligent agents that integrate with enterprise systems and deliver measurable business outcomes. The position bridges platform leadership and deep technical execution to ensure the AI platform remains scalable, secure, and adaptable to evolving technologies and business needs.

Responsibilities: 

  • Own and operate an enterprise, AI-agnostic AI platform including architecture, standards, reliability, and lifecycle management to guide and facilitate communication, tool usage and collaborative problem solving.
  • Make recommendations to management as needed to improve capabilities across platforms.
  • Design, develop, and support agentic AI automations and intelligent workflows integrated with enterprise systems.
  • Build advanced RAG pipelines integrating to enhance reasoning accuracy and context retention.
  • Establish platform guardrails for security, governance, scalability, and operational support.
  • Monitor internal guardrails and oversee compliance of third-party vendors.
  • Recommend risk mitigation solutions to management as needed.
  • Partner with business and technical teams to translate workflows into agent-driven automation solutions which meet business requirements.
  • Provide consultative expertise/direction as needed.
  • Perform other related duties as assigned.

Qualifications: 

  • Bachelor’s Degree (Computer Science, Engineering, Information Systems, AI/ML) or equivalent
  • A minimum of 5 years of experience in a combination of the following:
    • AI/ML engineering, intelligent automation, Enterprise AI platform architecture and lifecycle management
    • Autonomous agents, workflow orchestration, or large-scale distributed systems
    • Agentic AI systems, autonomous agents, and workflow orchestration and deployment
    • Intelligent automation, tool integration, and APIdriven workflows
    • AIagnostic design supporting multiple models, vendors, and frameworks
    • Python or equivalent programming for AI and automation development
    • RAG, context management, tool/function calling, and agent evaluation
    • Platform reliability, observability, and operational support
    • Secure integration with enterprise data and systems

Toshiba America Business Solutions, Inc. offers a competitive salary and generous benefits package including the following:  

  • Group health coverage (medical, dental, & vision)
  • Employee Assistance Programs
  • Pre-tax spending accounts
  • 401(k) plan 
  • Company provided life insurance 
  • Pet Insurance
  • Employee discounts
  • Generous paid holiday schedule, paid vacation & sick/personal business/volunteer days  

Toshiba America Business Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. 

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email AccommodationRequest@tabs.toshiba.com to request an accommodation.