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Ai Devops Engineer Jobs in Georgia (NOW HIRING)

AI DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Only W2 (USC) Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture ...

AI Devops Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

AI Devops Engineer Location: Atlanta, GA 5 Month Contract Only W2 3 days hybrid onsite in Atlanta Top Skills'' Details Cloud Architecture & Automation: 10+ years of experience designing and deploying ...

AI DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

ob Description We are seeking a Senior DevOps Engineer IV to support the design, implementation, and optimization of enterprise AI platforms and cloud infrastructure. This role will focus on cloud ...

Azure Devops Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Senior Azure DevOps Engineer (GitHub Actions, AKS, Entra ID & Azure AI) Location : Atlanta, GA(Remote or Hybrid Onsite-1-2 Days A Week local candidates may get some preference from customer if they ...

New

DevOps Engineer

Atlanta, GA ยท On-site

$61K - $141K/yr

DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Atlanta, GA ยท On-site

$61K - $141K/yr

As a DevOps engineer, you know how to set up cloud environments and provision computer networking ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Atlanta, GA ยท On-site

$61K - $141K/yr

R0244791 DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer 4

Atlanta, GA ยท On-site

$70 - $77.14/hr

Job Title: DevOps Engineer 4 Location: Atlanta GA 30308 Duration: 7/27/2026 -1/4/2027 Pay Rate: $77 ... Support AI/ML/LLM platform infrastructure, including agent-based AI solutions where applicable.

Devops Engineer

Atlanta, GA

$50.75 - $69.50/hr

The DevOps Engineer role will be accountable for designing, developing, testing, deploying, and monitoring software applications and infrastructure using agile and DevOps methodologies. We are ...

Devops Engineer

Atlanta, GA

$50.75 - $69.50/hr

The DevOps Engineer role will be accountable for designing, developing, testing, deploying, and monitoring software applications and infrastructure using agile and DevOps methodologies. We are ...

DevOps Platform Engineer

Duluth, GA ยท On-site

$48.50 - $66.50/hr

The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no agent or model can be deployed to production. Responsibilities * Provision and manage the agentic AI ...

DevOps Engineer GCP

Atlanta, GA ยท On-site

$58 - $60/hr

Job Title: DevOps Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location ... Experience with MLOps pipelines and deploying Vertex AI models (a plus). * Familiarity with service ...

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Ai Devops Engineer information

See Georgia salary details

$13

$51

$72

How much do ai devops engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai devops engineer in Georgia is $51.11, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $58.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What are AI DevOps Engineers?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps Engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Georgia? For Ai Devops Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Georgia look for? The top searched job categories for Ai Devops Engineer jobs in Georgia are:
What cities in Georgia are hiring for Ai Devops Engineer jobs? Cities in Georgia with the most Ai Devops Engineer job openings:
Infographic showing various Ai Devops Engineer job openings in Georgia as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $106,315 per year, or $51.1 per hour.

AI DevOps Engineer

Learn Beyond Consulting LLC

Atlanta, GA โ€ข On-site

$50.75 - $69.50/hr

Other

Posted 5 days ago


Job description

Only W2 (USC)

Job Description

Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture (Google Cloud Platform preferred), Infrastructure as Code (Terraform/Bicep), DevSecOps, AI/ML Operations, observability, governance, and Agentic AI. The engineer will build secure, scalable AI environments, implement CI/CD pipelines, monitor AI models, optimize cloud costs, and ensure compliance in regulated enterprise environments.

Key Skills

  • 10+ years in DevOps/Cloud Engineering.
  • Strong experience with Google Cloud Platform (preferred), Azure, or Databricks.
  • Expertise in Terraform/Bicep and Infrastructure as Code.
  • DevSecOps, CI/CD, IAM, encryption, secrets management.
  • AI/ML Operations: model monitoring, drift detection, logging, alerting, observability.
  • Cloud governance, FinOps, and cost optimization.
  • Experience with LLMs, AI Agents, LangChain, and AgentOps is a plus.
  • Knowledge of AI security, compliance, and model governance.