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Ai Reliability Engineer Jobs in Atlanta, GA (NOW HIRING)

Senior Applied AI Engineer

Alpharetta, GA · Hybrid

$102K - $140.10K/yr

Senior AI Engineer Equifax is where you can power your possible. If you want to achieve your true ... Influence architects, SRE leads and other technical leadership on strategic technical direction ...

Senior Applied AI Engineer

Alpharetta, GA · On-site

$100.90K - $138.50K/yr

Influence architects, SRE leads and other technical leadership on strategic technical direction ... Designed enterprise AI solutions and systems * Designed and developed cloud-native solutions.

US_East | Platform Engineer - DevOps_L3

Atlanta, GA · On-site

$50.75 - $69.50/hr

Possible 3 Month CTH | No Fees | Do Not Re-Post| Confidential R2D2 10115069, 10129413 Role SRE Automation Engineer_ Work location Remote Rates as follows: $ 80 hr/AI Background Check: MANDATORY ...

Lead AI Engineer

Alpharetta, GA · On-site

$98.90K - $130.30K/yr

What you'll do As our Lead AI Engineer, you will be the driving force behind our technical vision ... Establish and lead best practices for the reliability, versioning, monitoring, and observability of ...

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Ai Reliability Engineer information

See Atlanta, GA salary details

$58.7K

$113.4K

$135.6K

How much do ai reliability engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for ai reliability engineer in Atlanta, GA is $113,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $124,100.00 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 Atlanta, GA? For Ai Reliability Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Atlanta, GA look for? The top searched job categories for Ai Reliability Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Ai Reliability Engineer jobs? Cities near Atlanta, GA with the most Ai Reliability Engineer job openings:
Senior Applied AI Engineer

Senior Applied AI Engineer

Equifax

Alpharetta, GA • Hybrid

$102K - $140.10K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Senior AI Engineer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

We are seeking a seasoned Senior AI Engineer with deep expertise in AI solution engineering, design and contact center intelligence to join our growing team. In this role, you will design, build, and scale AI-powered systems that transform customer experiences — from conversational AI and virtual agents to real-time analytics and agent-assist tools. You will serve as a technical leader, driving architecture decisions and partnering with cross-functional stakeholders to deliver production-grade AI solutions.

Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.

This role reports to our office in Alpharetta, GA (JVW).

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

This is a direct-hire role and is not open to C2C or vendors.

What You'll Do:
  • Lead the end-to-end design of AI systems including LLM-powered applications, NLP pipelines, and ML inference infrastructure at enterprise scale.
  • Evaluate and recommend AI frameworks, cloud services, and third-party platforms aligned with business goals.
  • Integrate contact center AI with CRM, ticketing, and workforce management systems via APIs and event-driven architectures.
  • Build scalable data pipelines and feature stores to support model training, evaluation, and continuous improvement.
  • Play a pivotal role in the execution of cloud native, distributed micro service based architectures. Build strong relationships with both internal and external stakeholders including product, business and sales partners. Excellent communication skills with the ability to simplify complex problems.
  • Manage teams that span multiple products with cross functional team skills that include software engineering, quality engineering, reliability engineering and project management. Mentor, coach and develop first level people leaders and strong individual contributors.
  • Deep troubleshooting skills with the ability to lead and solve complex production and customer issues under pressure.
  • Build and optimize NLU models, intent classification systems, and dialogue management flows for voice and digital channels.
  • Data/Metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions across multiple products.
  • Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs. Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams.
  • Influence architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices. Guide the decision making with the Product teams, embrace the Product mindset, and be responsible for timely delivery of Product-driven solutions & service.
  • Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activity.
  • Responsible for successful implementation architecture decision making associated with Product features/stories, refactoring work, EOSL decisions, and continuous improvements whilst ensuring EHB guidelines.
  • Actively lead technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate.
What Experience You Need:
  • Bachelor's degree or 12+ years of software engineering experience.
  • Designed enterprise AI solutions and systems
  • Designed and developed cloud-native solutions. Designed and developed of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others
  • Designed and developed micro services using Java, Spring Boot, GCP SDKs GKE/Kubernetes. Performed R&D, prototyping/PoC of cloud-native solutions
  • Deployed and released software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs
  • Worked with SREs and dev teams to define and maintain SLA, SLO, SLIs meeting EFX quality engineering standards. Collaborated with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices
  • Collaborated with Product with a product mindset
  • Led Sprint planning, Sprint Retrospectives, and other team activity
  • Implemented architecture decision making associated with Product features/stories, refactoring work, EOSL decisions, and continuous improvements whilst ensuring EHB guidelines
  • Created and delivered technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate
  • Deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure
  • Strong experience of full stack software development and public cloud
What Experience Could Set You Apart:
  • Cloud Certification strongly preferred
  • Led design and development of solutions using event-driven and RESTFul API architecture

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location: USA-Atlanta JV White

Function: Function - Tech Dev and Client Services

Schedule: Full time


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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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