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

Elsevier

Principal Software Engineer-Agentic AI

Raleigh, NC

$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 ...

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$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 ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Assess and implement system enhancements to improve performance, scalability, reliability, and cost ... years of engineering experience. * 2+ years of experience supporting AI/ML platforms, MLOps ...

Material Bank

Applied AI Engineer

Raleigh, NC · On-site

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next ... accuracy, reliability, and user experience. * Proven ability to independently take ambiguous ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Assess and implement system enhancements to improve performance, scalability, reliability, and cost ... years of engineering experience. * 2+ years of experience supporting AI/ML platforms, MLOps ...

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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 Jul 14, 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 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 Reliability Engineer jobs near you
Senior Manager Cyber Security - Cloud/ AI Security (Remote)

Senior Manager Cyber Security - Cloud/ AI Security (Remote)

First Citizens Bank

Raleigh, NC • On-site, Remote

$145K - $220K/yr

Full-time

Re-posted 22 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 rated banks

Job description

Overview
We are seeking a seasoned technical people leader to build and lead our Cloud Security and AI Security functions, and the engineering team. This role is responsible for defining strategy, driving execution, and ensuring strong security outcomes across AWS, Azure, and emerging AI/ML platforms and use cases.
The successful candidate will combine deep hands-on technical expertise, strong people leadership, and the ability to partner with engineering, data science, and platform teams to enable secure innovation at scale.
Responsibilities
Cloud Security Leadership (AWS & Azure)
  • Own the cloud security strategy across AWS and Azure, aligned with enterprise risk appetite and business objectives.
  • Lead the design and implementation of:
  • Secure cloud architectures (landing zones, identity, network segmentation).
  • Cloud-native security controls (IAM, encryption, logging, monitoring).
  • CSPM, CIEM, and CWPP solutions.
  • Partner with cloud platform and application teams to embed security-by-design in infrastructure and CI/CD pipelines.
  • Drive remediation of cloud security findings and reduce systemic risk at scale.

AI / ML Security Leadership
  • Establish and lead the AI Security function, covering GenAI, ML platforms, and AI-enabled products.
  • Define security standards for:
  • Model training, deployment, and lifecycle management.
  • Data protection, privacy, and integrity in AI pipelines.
  • Secure use of third-party and foundation models.
  • Address emerging AI threats including:
  • Model poisoning, prompt injection, data leakage, and misuse.
  • Partner with Data Science, AI Platform, Legal, and Privacy teams to enable compliant and responsible AI adoption.

People & Program Leadership
  • Build, mentor, and manage a high-performing team of cloud and AI security engineers.
  • Set clear goals, career paths, and performance expectations for team members.
  • Manage budgets, tooling investments, and vendor relationships.
  • Define metrics and dashboards to measure security posture, maturity, and risk reduction.

Risk Management & Governance
  • Translate complex technical risks into clear executive-level insights.
  • Contribute to cloud and AI risk assessments, threat modeling, and security reviews.
  • Ensure alignment with internal policies, regulatory requirements, and industry best practices.

Stakeholder Engagement
  • Act as a trusted security advisor to engineering, product, and architecture leaders.
  • Influence without friction, balancing security requirements with speed and innovation.
  • Represent Cloud & AI Security in executive forums and architecture reviews.

#LI-IK1
Qualifications
Bachelor's Degree and 8 years of experience in Information Security or Technology OR High School Diploma or GED and 12 years of experience in Information Security or Technology
Qualifications
  • 5+ years leading technical security teams.
  • Deep hands-on experience securing AWS and Azure environments at enterprise scale.
  • Strong knowledge of:
  • Cloud IAM, networking, encryption, monitoring, and logging.
  • DevSecOps, CI/CD security, and infrastructure-as-code (Terraform, ARM, CloudFormation).
  • Proven experience securing AI/ML systems or leading security for data science and AI platforms.
  • Experience with cloud security tooling, posture management and controls development.
  • Strong understanding of threat modeling, risk management, and secure architecture principles.
  • Excellent communication skills, with the ability to influence senior technical and business leaders.

Preferred / Nice-to-Have Qualifications
  • Experience securing GenAI platforms, LLMs, or AI-enabled applications.
  • Certifications such as:
  • AWS Certified Security - Specialty
  • Microsoft Azure Security Engineer
  • CISSP, CCSP, or similar
  • Experience in regulated environments (financial services, healthcare, or technology at scale).
  • Background in software engineering, platform engineering, or SRE.

The base pay for this position is generally between $145,000 and $220,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
This job posting is expected to remain active for 45 days from the initial posting date listed above. If it is necessary to extend this deadline, the posting will remain active as appropriate. Job postings may come down early due to business need or a high volume of applicants
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
#LI-IK1

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