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

Datavault AI, Inc.

DevOps Engineer

Sandy Springs, GA

$52.25 - $71.75/hr

DevOps Engineer Location: Atlanta, GA Employment Type: Full-Time About Us ... Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ...

BlackSpade

Software Engineer with DevOps

Atlanta, GA · On-site

$110K/yr

AI & DevOps Engineer (Elite Entry-Level Track) Salary: $70,000/year W2 with a guaranteed progression to $110k/year on W2 after 2 years Benefits: Sponsored Training + Fortune 500 Placement + Internal ...

TIER4 GROUP

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 ...

Tier4 Group

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 ...

Lorven Technologies

Devops Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Title: DevOps Engineer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) Employment ... You are an early adopter of GitHub Copilot or AI Agents to help generate Terraform modules, K8s ...

AGS

DevOps Platform Engineer

Duluth, GA · 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 ...

Krest Global Solutions

DevOps Engineer GCP

Atlanta, GA

$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 ...

4P Consulting Inc.

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$50.75 - $69.50/hr

Position: DevOps Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company ... This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving ...

Jose Merciline

DevOps Engineer

Alpharetta, GA

$51.50 - $70.50/hr

Position Title - DevOps Engineer Job summary: We are seeking a passionate DevOps specialist for various technologies & tools used by our application teams. What you will do -Assist with onboarding ...

SOLTECH

Sr. DevOps Engineer

Duluth, GA · Hybrid

$119K - $153K/yr

Potential involvement with AI-driven DevOps optimizations. Requirements: Proven experience in an enterprise-level AWS environment. Extensive hands-on experience with Terraform, applying it ...

Momnt

Devops Engineer

Sandy Springs, GA · On-site

$50.75 - $69.50/hr

DevOps Engineer Momnt is an expanding financial technology company specialising in embedded lending and point-of-need consumer financing based in Sandy Springs, GA. We are transforming how merchants ...

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Momnt

Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

DevOps Engineer Momnt is an expanding financial technology company specialising in embedded lending and point-of-need consumer financing based in Sandy Springs, GA. We are transforming how merchants ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Atlanta, GA

Ai Devops Engineer information

See Atlanta, GA salary details

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How much do ai devops engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai devops engineer in Atlanta, GA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.83 per hour, depending on experience, location, and employer.

What is an AI DevOps engineer?

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.

What are the key skills and qualifications needed to thrive as an AI DevOps engineer?

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.

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.

Will AI take AI Devops Engineer jobs?

AI DevOps Engineers focus on integrating AI models into deployment pipelines, automating infrastructure, and managing AI systems. While AI tools can automate certain tasks, the role requires expertise in both AI and DevOps practices, making complete automation unlikely in the near term. Human oversight remains essential for designing, maintaining, and improving AI deployment processes.

What are popular job titles related to Ai Devops Engineer jobs in Atlanta, GA?

For Ai Devops Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Atlanta, GA look for?

The top searched job categories for Ai Devops Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Ai Devops Engineer jobs?

Cities near Atlanta, GA with the most Ai Devops Engineer job openings:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $121,081 per year, or $58.2 per hour.

Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)

NTT DATA Services

Atlanta, GA • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 225 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).
Senior AI DevOps Engineer (AI Ops / Platform Engineering)
Position Summary
We're looking for an experienced Senior AI DevOps Engineer to help build the next generation of AI-powered software delivery and cloud operations. In this role, you'll combine modern DevOps practices with Generative AI, LLM agents, Model Context Protocol (MCP), and intelligent automation to transform how engineering teams build, deploy, and operate software.
You'll partner with Platform Engineering, DevOps, Security, SRE, and AI teams to design secure, scalable, cloud-native solutions that accelerate software delivery while improving reliability, observability, and operational efficiency.
This is an opportunity to work on cutting-edge AI technologies that are redefining modern software engineering.
What You'll Do
  • Design, build, and optimize AI-enabled CI/CD pipelines that improve developer productivity, deployment speed, and software quality.
  • Develop and deploy Model Context Protocol (MCP) clients and servers that securely connect enterprise LLMs with engineering tools, cloud infrastructure, and operational platforms.
  • Build custom MCP services using Python, TypeScript, JavaScript, or Node.js to expose infrastructure, deployment, monitoring, and operational data to authorized AI agents.
  • Integrate LLM-powered workflows for automated code reviews, testing, security analysis, release validation, and infrastructure recommendations.
  • Build and maintain enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar platforms.
  • Implement AI-driven ChatOps capabilities that enable engineers to interact with deployment pipelines, cloud environments, and operational tools through secure conversational interfaces.
  • Design intelligent remediation workflows for incident detection, root cause analysis, log analysis, and operational troubleshooting.
  • Develop secure Infrastructure-as-Code automation using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar technologies.
  • Deploy and manage containerized applications using Kubernetes and Docker across AWS, Azure, or Google Cloud.
  • Build AI-powered observability solutions leveraging Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, ELK, or similar platforms.
  • Implement security guardrails including RBAC, least-privilege access, approval workflows, audit logging, rollback mechanisms, and secure AI tool access.
  • Partner with Engineering, Platform, Security, SRE, and AI teams to identify and implement intelligent automation opportunities.
  • Create reusable automation frameworks, documentation, dashboards, and engineering best practices that scale across the organization.

Required Qualifications
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or Infrastructure Automation.
  • 4+ years designing and supporting enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar tools.
  • 3+ years of cloud engineering experience in AWS, Azure, or Google Cloud (AWS preferred).
  • Strong experience deploying and managing Kubernetes and Docker in production environments (EKS, AKS, or GKE).
  • Hands-on experience with Infrastructure as Code using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar tools.
  • Strong programming skills in Python, TypeScript, JavaScript, Bash, Go, or similar languages.
  • Experience integrating enterprise LLM platforms such as OpenAI, Anthropic, or equivalent AI services into engineering workflows.
  • Experience with AI orchestration frameworks such as LangChain, CrewAI, LlamaIndex, or similar technologies.
  • Experience designing or implementing Model Context Protocol (MCP) clients and servers.
  • Experience implementing DevSecOps practices including SAST, DAST, dependency scanning, container security, secrets management, and vulnerability management.
  • Experience with secrets management solutions such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault.
  • Strong experience with monitoring, logging, and observability platforms such as Datadog, Grafana, Prometheus, CloudWatch, Splunk, Dynatrace, or ELK.
  • Excellent troubleshooting skills across cloud infrastructure, CI/CD pipelines, Kubernetes, and production systems.
  • Strong communication skills and the ability to collaborate across engineering, security, and AI teams.

Preferred Qualifications
  • Experience building AI-assisted infrastructure provisioning and deployment workflows.
  • Experience implementing autonomous or AI-assisted incident response and operational remediation.
  • Experience with MLOps platforms including MLflow, Amazon SageMaker, Vertex AI, Azure ML, or similar technologies.
  • Experience implementing human-in-the-loop approval workflows for AI-generated operational actions.
  • Knowledge of Policy-as-Code frameworks such as Open Policy Agent (OPA), Sentinel, or Checkov.
  • Experience with GitOps platforms such as ArgoCD or Flux.
  • Experience working within regulated industries such as financial services, healthcare, insurance, or government.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications.

What Makes You Successful
  • Passion for automation and continuously improving engineering productivity.
  • Security-first mindset with practical experience implementing safe, responsible AI automation.
  • Ability to bridge DevOps, Platform Engineering, AI, Security, and Software Engineering disciplines.
  • Strong problem-solving skills with an ownership mentality from design through production support.
  • Comfortable leading technical initiatives and mentoring engineering teams on modern AI-enabled development practices.

Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent professional experience).
Work Location
Hybrid schedule with three days per week onsite as required by the client or project.
Pay Transparency
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,952-$162,875. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here
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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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