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

Litera

Site Reliability Engineer

Raleigh, NC · On-site

$120K - $150K/yr

If you're passionate about building AI-forward solutions that scale globally and want your work to ... As a Site Reliability Engineer (SRE) at Litera, you will play a key role in ensuring our SaaS ...

Litera

Site Reliability Engineer

Raleigh, NC

$120K - $150K/yr

If you're passionate about building AI-forward solutions that scale globally and want your work to ... As a Site Reliability Engineer (SRE) at Litera, you will play a key role in ensuring our SaaS ...

Litera

Site Reliability Engineer

Raleigh, NC

$120K - $150K/yr

If you're passionate about building AI-forward solutions that scale globally and want your work to ... As a Site Reliability Engineer (SRE) at Litera, you will play a key role in ensuring our SaaS ...

Litera

Site Reliability Engineer

Raleigh, NC · On-site

$120K - $150K/yr

If you're passionate about building AI-forward solutions that scale globally and want your work to ... As a Site Reliability Engineer (SRE) at Litera, you will play a key role in ensuring our SaaS ...

QlikTech International AB

Site Reliability Engineer

Raleigh, NC · On-site +1

$55.50 - $73.75/hr

... AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance ... The Site Reliability Engineer Role Join our dynamic team at Qlik as a Site Reliability Engineer ...

NVIDIA

Senior Site Reliability Engineer - HPC

Durham, NC · On-site

$55 - $73.25/hr

They are seeking a Senior Site Reliability Engineer to join their Compute Farm team, responsible for ensuring the reliability and performance of critical systems while leveraging AI to deliver ...

Nvidia

Senior Site Reliability Engineer - HPC

Durham, NC

$55 - $73.25/hr

You'll harness the power of AI to deliver groundbreaking solutions to some of the world's toughest problems-and see your work have real, lasting impact! What you'll be doing: * Own SRE solutions ...

SoftPro

Technical Services Engineer

Raleigh, NC · On-site +1

Familiarity with Site Reliability Engineering concepts (SLOs, Error Budgets, Observability). * AIOps Awareness: Interest or experience in using AI/Machine Learning to correlate data and filter ...

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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 May 28, 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 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 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 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
Site Reliability Engineer

Site Reliability Engineer

Litera

Raleigh, NC • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Job Description
Join the Legal Tech Revolution at Litera
Are you ready to shape the future of how law is practiced? At Litera, we're on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We've been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world's largest law firms as our clients. If you're passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that's elevating the craft of law.
This position is hybrid based in Denver, Colorado or Raleigh, North Carolina and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week.
Role Overview:
As a Site Reliability Engineer (SRE) at Litera, you will play a key role in ensuring our SaaS solutions remain stable, scalable, and resilient. Your primary focus will be on enhancing operational efficiency and reliability across diverse cloud environments and their core infrastructure. You'll leverage automation to streamline workflows, develop innovative tools, optimize monitoring and alerting systems, and provide rapid incident response. This is a hands-on, team-oriented position that values collaboration and proactive problem-solving.
Key Responsibilities:
• Own SaaS application reliability and architecture
• Solve complex systems issues
• Support and escalated customer-facing issues
• Participate in a 24/7 on-call rotation
• Lead root cause analysis and remediation efforts
• Automate workflows to improve efficiency
• Build and maintain dashboards for real-time monitoring
• Drive reliability improvements across cloud infrastructure
• Enforce security and compliance standards
• Coordinate cross-team incident resolution
• Manage disaster recovery and operational playbooks
• Mentor engineers and foster technical excellence
• Be a reliable, collaborative presence on the team
Qualifications:
Must haves:
  • 5 Years of experience as an SRE
  • Experience performing log analysis and software remediation
  • Experience using configuration management tools (Terraform, Puppet, Ansible)
  • Experience working with cloud platforms (Azure/AWS) and remote collocated systems
  • Familiarity with AI-driven tools such as Claude AI, GitHub Copilot, Cursor, or Devin AI
  • Deep knowledge in monitoring and alerting tools (New Relic, Datadog, Dynatrace)
  • Confidence in navigating and troubleshooting operating systems (Windows, Linux)
  • Communicates clearly and effectively to drive alignment across teams
  • Collaborates cross-functionally to deliver results and move work forward
  • Strong sense of urgency when it matters

Nice to haves:
  • Knowledge of the mainstream databases (writing queries, tuning)
  • Experience designing and troubleshooting large-scale distributed systems
  • Strong grasp of software engineering principles and agile practices Knowledge of how distributed systems scale, fail, and recover
  • Capable of recommending improvements and rallying others to implement them
  • The ability to communicate effectively and break down complex issues
  • The ability to learn quickly and navigate ambiguity comfortably
  • The ability to remain calm and focused under pressure
  • Experience working in regulated environments such as GDPR, SOX, HIPAA, PCI
  • Certifications in AWS, Azure, or other relevant cloud platforms
  • Hands-on software development experience
  • Core background in networking

Why Join Litera?
  • The company culture: We emphasize helping each other grow, doing the right thing always, and being part of a journey to amplify impact, creating an exciting and fulfilling work environment

  • Commitment to Employees: Our people commitment is based on what employees love most about being part of the team, focusing on tools that matter to the difference-makers in the legal world and amplifying their impact

  • Global, Dynamic, and Diverse Team: Our is a global company with ambitious goals and unlimited opportunities, offering a dynamic and diverse work environment where employees can grow, listen, empathize, and problem-solve together

  • Comprehensive Benefits Package: Experience peace of mind with our health insurance, retirement savings plans, generous paid time off, and a supportive work-life balance. We invest in your well-being and future, ensuring a rewarding career journey.

  • Career Growth and Development: We provide career paths and opportunities for professional development, allowing employees to progress through various technical and leadership roles

Pay Transparency Notice for Colorado Applicants:
The annual salary range for this position is $120,000 to $150,000.
This role is also eligible to participate in a company bonus plan.
Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications. Litera offers a comprehensive benefits package including health, dental, and vision insurance, 401(k) with company contribution, and incentive and recognition programs. All benefits are subject to eligibility requirements.
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Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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