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Ai Reliability Engineer Jobs in Georgia (NOW HIRING)

Staff Reliability Engineer

Atlanta, GA · On-site

$150 - $200/hr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

GCP SRE

Alpharetta, GA · On-site

$55.75 - $74/hr

This role is for a Site Reliability Engineer (SRE) with a strong emphasis on Google Cloud Platform (GCP) and AI skills. The position requires robust incident management capabilities within the GCP ...

Staff Reliability Engineer

Atlanta, GA · On-site

$98K - $124K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... ABOUT THE TEAM The Reliability Engineering team partners across Anduril's engineering ...

Senior Site Reliability Engineer

Atlanta, GA

$54.75 - $72.75/hr

Experience with AI-assisted observability or operational automation * Experience making meaningful contributions to internal SRE tooling, frameworks, or platforms REQUIRED KNOWLEDGE, SKILLS, OR ...

Senior Site Reliability Engineer

Atlanta, GA · On-site

$54.75 - $72.75/hr

Experience with AI-assisted observability or operational automation * Experience making meaningful contributions to internal SRE tooling, frameworks, or platforms REQUIRED KNOWLEDGE, SKILLS, OR ...

Showing results 21-40

Ai Reliability Engineer information

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 job categories do people searching Ai Reliability Engineer jobs in Georgia look for?

The top searched job categories for Ai Reliability Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ai Reliability Engineer jobs?

Cities in Georgia with the most Ai Reliability Engineer job openings:

Infographic showing various Ai Reliability Engineer job openings in Georgia as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Site Reliability Engineer

Pyramid Consulting, Inc.

Atlanta, GA • On-site

$60 - $65/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 28 days ago


Job description

Immediate need for a talented Site Reliability Engineer. This is a 06+months contract opportunity with long-term potential and is located in Atlanta, GA(Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-22476
Pay Range: $60 - $65/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:

  • The Senior Site Reliability Engineer (SRE) is a handson engineering
  • role responsible for the availability, performance, and resilience of largescale QSR digital platforms supporting ordering, payments, menu, loyalty, and restaurant integrations across multiple brands.
  • This role emphasizes shiftleft reliability, measurable service health (SLOs), strong incident leadership, and automationfirst practices.
  • It is not an operations, monitoring-only, or ticketdriven role

Key Requirements and Technology Experience:

  • Must have skills: Azure, observability, Reliability
  • Embed reliability practices early in the SDLC (architecture review, design, refinement, preproduction).
  • Define, operate, and enforce SLis, SLOs, and error budgets for critical customer journeys (ordering, checkout, payments, menu availability).
  • Validate production readiness for releases, including observability, alerting, rollback strategy, and incident response preparedness.
  • Design and own end to end customerjourney observability, dashboards, and actionable alerts.
  • Lead technical response for Pl/P2 incidents, acting as a handson engineer and technical decision maker.
  • Drive root cause analysis and ensure learnings result in permanent reliability improvements.
  • Proactively analyze telemetry to identify leading reliability risk indicators before customer or store impact.
  • Engineer out repetitive or manual operational toil through automation; ongoing manual execution is not steadystate SRE work.
  • Define and enforce clear ownership boundaries between SRE, Engineering, Product, and Platform teams.
  • Perform reliability and risk reviews for thirdparty and partner integrations (POS, payments, loyalty, delivery).

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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