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Ai Devops Engineer Jobs in Tennessee (NOW HIRING)

Stifel

Operations Engineer (Cloud)

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At least one AWS certification (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer - Professional). * Preferred:

Stifel

Operations Engineer (Cloud)

Memphis, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At least one AWS certification (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer - Professional). * Preferred:

Archarithms Inc

OpenShift Engineer

Tullahoma, TN · On-site

$45.75 - $62.50/hr

  • Medical

  • Retirement

... data platforms, AI/ML solutions, and cloud-native services. The ideal candidate will possess ... Experience with Git-based source control and DevOps workflows. * Experience supporting cloud or ...

Archarithms, Inc.

OpenShift Engineer

Tullahoma, TN · On-site

$45.75 - $62.50/hr

  • Medical

  • Retirement

... data platforms, AI/ML solutions, and cloud-native services. The ideal candidate will possess ... Experience with Git-based source control and DevOps workflows. Experience supporting cloud or ...

Deloitte

AI Engineer Consultant

Nashville, TN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

C2 Labs, Inc.

AI Engineer

Knoxville, TN · On-site

If you want to ship AI that actually lands in production, not sit in a slide deck, this is the role ... DevOps, security, product and project management, and analysis. · Raise the bar for quality ...

Deloitte

Azure CMS Engineer

Hermitage, TN · On-site

$48.25 - $59.75/hr

... DevOps practices, including Github for version control, to manage cloud. • Working knowledge of Azure AI services (e.g., Azure OpenAI, Azure Cognitive Services, Microsoft Foundry) and how they ...

Tata Consultancy Service Limited

DevOps Lead

Brentwood, TN · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong hands-on experience in Azure cloud, AKS administration, Kubernetes architecture, Docker, Helm, Kustomize, ingress controllers, service mesh, Azure DevOps pipelines, GitHub Actions, Jenkins ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

We're partnering with forward-thinking companies that are scaling their machine learning operations and real-time AI deployments. As an AI Engineer, you'll play a pivotal role in designing, training ...

Aveva

Software Development Platform Engineer

Johnson City, TN · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Assess, govern, and securely integrate AI-assisted development tools (e.g., copilots, code review assistants, chat/agent automations) into Azure DevOps/GitHub and SDLC workflows by enforcing data ...

Premise Health

Director, AI Engineering - Remote

Brentwood, TN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish DevOps and CI/CD practices for AI/ML solutions, ensuring continuous delivery, automated testing, model versioning, and deployment pipelines for AI systems. * Manage cross-functional ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Tennessee

Ai Devops Engineer information

See Tennessee salary details

$14

$54

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How much do ai devops engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai devops engineer in Tennessee is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $63.08 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 Tennessee?

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

What job categories do people searching Ai Devops Engineer jobs in Tennessee look for?

The top searched job categories for Ai Devops Engineer jobs in Tennessee are:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $114,277 per year, or $54.9 per hour.

Operations Engineer (Cloud)

Stifel

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Why Stifel
Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.
Let's talk about how you can find your place here at Stifel, where success meets success.
What You'll Be Doing
The Operations Engineer role is focused on Amazon Web Services (AWS) disaster recovery, automation/IaC, and FinOps. This role partners with engineering, infrastructure, and security teams to improve resilience, standardize recovery processes, and increase cloud cost visibility and optimization. The Operations Engineer will develop scalable IaC modules and automated workflows that make recovery predictable, observable, and easier to operate across multiple applications and environments.
What We're Looking For
  • Configure and manage AWS Elastic Disaster Recovery (DR) and support DR services/patterns.
  • Create and maintain Cutover runbooks for DR events (dependencies, communications, validations, rollback).
  • Plan and execute DR tests/failovers/failbacks; capture results and drive remediation.
  • Build and maintain Terraform infrastructure-as-code modules and standards.
  • Automate provisioning and repeatable operational workflows (scripting and tooling).
  • Improve DR readiness through monitoring/alerting for replication health, backups, and recovery workflows.
  • Coordinate with security/risk to ensure DR solutions meet control and compliance expectations.
  • Support FinOps practices including, tagging, allocation, reporting, and optimization enablement.
  • Use Apptio Cloudability (preferred) to analyze spend, trends, and optimization of opportunities.

What You'll Bring
  • Demonstrated experience implementing and supporting AWS cloud platform and resiliency solutions, including disaster recovery planning, testing, and operational support.
  • Proficiency with IT systems, including cloud services, networking, data storage, and compute; experience with backup/replication and cloud resiliency methods is desired.
  • Proficiency with automation and infrastructure-as-code tools (Terraform preferred) and scripting (Python, PowerShell, and/or Bash) to create repeatable operational workflows.
  • Strong understanding of disaster recovery concepts, including RTO/RPO definition, runbook development, recovery validation, and continuous improvement through testing and remediation.
  • Familiarity with industry standards and guidance such as ISO 22301, FFIEC guidelines, NIST SP 800-34, and ITIL, and the ability to apply those expectations in a cloud context.
  • Business understanding and the ability to apply technology solutions to business resiliency, risk reduction, and service continuity objectives.
  • Analytical skills and the ability to interpret cloud usage/cost data into actionable insights; familiarity with FinOps practices and tools such as Apptio Cloudability or AWS Cost Management is desired.
  • Strong written and verbal communication skills, including the ability to produce clear technical documentation and present to influential audiences.
  • Ability to work calmly under pressure and with tight deadlines, including during DR tests, incidents, and recovery activities.

Education & Experience
  • Minimum Required: Bachelor's degree in Computer Science, Information Systems, or related field or equivalent relevant experience.
  • Minimum Required: 5+ years of experience in cloud/platform engineering, DevOps/SRE, or systems engineering. Demonstrated experience implementing and testing DR strategies in AWS. Experience building and maintaining IaC and automation via scripting.
  • Preferred: DRS & Terraform.

Licenses & Credentials
  • Minimum Required: At least one AWS certification (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer - Professional).
  • Preferred: FinOps Certified Practitioner.
  • Preferred: ITIL Foundation or similar operations/process certification.

Systems & Technology
  • Cloud: AWS (IAM, VPC, EC2, EBS, S3, CloudWatch), AWS Elastic Disaster Recovery (DRS).
  • IaC: Terraform or CloudFormation preferred.
  • Runbooks/Orchestration: Cutover preferred.
  • FinOps/Cost Management: Apptio Cloudability preferred, AWS Cost Explorer/Budgets/Cost & Usage Reports.
  • Monitoring/Logging: CloudWatch; familiarity with Splunk/Datadog a plus.
  • CI/CD & Source Control: Git; familiarity with GitHub Actions/Jenkins/CodePipeline a plus.
  • OS & Scripting: Windows/Linux; Python, Bash, PowerShell.
  • Containers (plus): Docker, ECS/EKS/Kubernetes.

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About Stifel
Stifel is more than 130 years old and still thinking like a start-up. We are a global wealth management and investment banking firm serious about innovation and fresh ideas. Built on a simple premise of safeguarding our clients' money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.
While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations. Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more. Let's talk about how you can find your place here at Stifel, where success meets success.
At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.
Stifel is an Equal Opportunity Employer.

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