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Ai Devops Engineer Jobs in Arizona (NOW HIRING)

DevOps Engineer (AIOps)

Tempe, AZ ยท On-site

$50.50 - $69.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

DevOps Engineer

Scottsdale, AZ

$53.25 - $73/hr

Must haves/Minimum Requirements: -DevOps Engineer with 2+ years of hands-on AWS experience * Hashicorp open source technologies such as Terraform, Packer, and Vault * Hands-on TLS certificate ...

DevOps Engineer

Scottsdale, AZ ยท On-site

$53.25 - $73/hr

Must haves/Minimum Requirements: -DevOps Engineer with 2+ years of hands-on AWS experience * Hashicorp open source technologies such as Terraform, Packer, and Vault * Hands-on TLS certificate ...

Devops Engineer

Phoenix, AZ

$52.50 - $71.75/hr

Role: Devops Engineer Location: Phoenix, AZ Duration: Long Term Prime Vendor: Atos Syntel Main Skills Kafka; Redis; ELK Stack (Elastic Search, Logstash, Kibana) :: 1. Must have at least 5 years of ...

New

Media DevOps Engineer

Tempe, AZ ยท Hybrid

$128K - $180K/yr

Fox Corporation is looking for an Media DevOps Engineer to join our Direct To Customer Platforms ... Experience with AI/ML technologies is a plus * Strong interpersonal, communication skills and ...

AWS & Azure Devops Engineer

Chandler, AZ ยท On-site

$53.75 - $73.75/hr

AWS & Azure Devops Engineer Location: Chandler, AZ (Onsite) Type: Full-time Must Have Technical/Functional Skills Primary Skill: AWS & Azure Devops Engineer Secondary: Terraform, Ansible, Python ...

AI Operations Engineer

Scottsdale, AZ

$70K - $94K/yr

Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and ... Work with IT, Security, and DevOps to ensure safe and scalable deployment practices. * Own delivery ...

New

AI Operations Engineer

Scottsdale, AZ ยท On-site

$70K - $94K/yr

Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and ... Work with IT, Security, and DevOps to ensure safe and scalable deployment practices. * Own delivery ...

New

Audio Conference DevOps Engineer

Tempe, AZ

$51.25 - $70.25/hr

Audio Conference DevOps Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No We're looking for a Audio Conference DevOps Engineer to manage the deployment of new release ...

Audio Conference DevOps Engineer

Tempe, AZ ยท On-site

$51.25 - $70.25/hr

Audio Conference DevOps Engineer LOCATION : Phoenix AZ SALARY : Based on Experience SPONSORSHIP : No We're looking for a Audio Conference DevOps Engineer to manage the deployment of new release ...

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Ai Devops Engineer information

See Arizona salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for ai devops engineer in Arizona is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $64.76 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 Arizona? For Ai Devops Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Arizona look for? The top searched job categories for Ai Devops Engineer jobs in Arizona are:
What cities in Arizona are hiring for Ai Devops Engineer jobs? Cities in Arizona with the most Ai Devops Engineer job openings:
DevOps Engineer (AIOps)

DevOps Engineer (AIOps)

Allegis Group

Tempe, AZ โ€ข On-site

$50.50 - $69.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Job Summary:

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, Production Support, Release Management, Test Automation, and platform operations through intelligent automation, operational tooling, observability, and AI-enabled capabilities. This role focuses on building scalable operational solutions that improve system reliability, reduce manual operational effort, strengthen production visibility, and optimize engineering support workflows across the Connected and OBE programs.

The AIOps Engineer partners closely with Engineering, DevOps, Production Support, Architecture, and Release teams to identify improvement opportunities, streamline operational processes, and implement practical solutions across monitoring, incident management, deployment operations, operational analytics, release coordination, and support workflows. This role contributes to implementing operational tooling, automation frameworks, intelligent monitoring capabilities, and AI-assisted solutions that improve operational efficiency, engineering effectiveness, and platform stability.

This is a hands-on engineering role focused on applying modern operational engineering practices to solve enterprise operational challenges through automation, operational intelligence, and scalable engineering solutions. The AIOps Engineer helps improve operational scalability, support responsiveness, operational maturity, and engineering efficiency while aligning enterprise technology and governance standards.ย 

Required in-office presence at least 2 days per week

Responsibilities

Essential Functions:

  • Design, develop, and maintain intelligent operational solutions, automation workflows, scripts, integrations, and orchestration capabilities across DevOps, Production Support, Release Management, Test Automation, and operational ecosystems.
  • Identify operational bottlenecks, repetitive support activities, and manual engineering processes suitable for automation and operational optimization.
  • Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency.
  • Improve observability and operational visibility through dashboards, monitoring integrations, alerting, logging, analytics, reporting, and release insight solutions across enterprise platforms.
  • Partner with Engineering, DevOps, Architecture, Production Support, and Release teams to improve operational scalability, engineering effectiveness, and platform reliability.
  • Support operational triage, incident coordination, root cause analysis, and operational response workflows through automation and intelligent operational tooling.
  • Evaluate, implement, and enhance operational tooling, integrations, automation frameworks, orchestration capabilities, and operational intelligence solutions.
  • Support release operations, deployment visibility, environment coordination, and operational readiness activities across enterprise platforms.
  • Contribute to operational standards, implementation best practices, governance alignment, and modernization initiatives.
  • Assist with operational data analysis, trend identification, operational metrics, engineering productivity insights, and reporting initiatives.
  • Collaborate with cross-functional teams to implement scalable operational processes aligned with enterprise technology and security standards.
  • Provide technical recommendations related to automation, reliability, scalability, observability, and operational optimization opportunities.
  • Support continuous improvement initiatives focused on operational maturity, engineering efficiency, support effectiveness, and platform stability.

Supervisory or Management Responsibility:

  • Provide technical collaboration and operational support across DevOps, Engineering, Production Support, Release Management, and operational teams.
  • Share operational knowledge, automation practices, and implementation guidance with engineering and operational teams.
  • Assist leadership and engineering teams with operational insights, technical recommendations, and operational improvement opportunities.

Budget Responsibility:

  • Support operational tooling evaluations, technical assessments, and operational platform recommendations.
  • Assist with operational tooling research and operational modernization initiatives aligned with long-term engineering and operational goals.
Qualifications

Minimum Education and/or Experience:

  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent combination of education and work experience.
  • 4+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Production Support Engineering, Operational Engineering, Automation Engineering, or enterprise operational support environments.
  • Strong understanding of enterprise operational workflows, operational support models, and platform reliability practices.
  • Experience with CI/CD pipelines, release orchestration, environment management, and DevOps operational processes.
  • Experience with observability, monitoring, alerting, logging, and operational analytics platforms.
  • Experience with automation frameworks, scripting, workflow automation, tooling integrations, and orchestration capabilities.
  • Experience supporting cloud-based enterprise environments and distributed operational ecosystems.
  • Familiarity with AI-assisted operational tooling, intelligent automation platforms, operational analytics, or operational intelligence capabilities.
  • Understanding of incident management, operational triage, root cause analysis, and production support workflows.
  • Experience integrating APIs, operational services, enterprise platforms, and automation pipelines.
  • Strong communication, stakeholder collaboration, analytical thinking, and problem-solving skills.
  • Experience operating within Agile enterprise delivery environments.
Skills and Abilities:
  • Experience supporting Salesforce enterprise ecosystems and Salesforce DevOps environments.
  • Experience with GitHub Actions, release orchestration platforms, infrastructure automation, or operational workflow tooling.
  • Familiarity with AI-assisted operational tooling, operational intelligence platforms, or enterprise automation frameworks.
  • Experience supporting enterprise-scale production support operations and operational modernization initiatives.
  • Experience with operational analytics, engineering productivity tooling, intelligent monitoring solutions, or operational dashboards.
  • Familiarity with cloud-native operational tooling, enterprise observability platforms, and operational automation practices.

Core Competencies:

  • Build relationships
  • Develop people
  • Lead change
  • Inspire Others
  • Think critically
  • Communicate clearly
  • Create Accountability

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.ย  This role is eligible for the following:

  • Medical, dental & vision
  • Hospital plans
  • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
  • Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
  • Company paid Short and long-term disability
  • Health & Dependent Care Spending Accounts (HSA & DCFSA)
  • Transportation benefits
  • Employee Assistance Program
  • Tuition Assistance
  • Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

Salary Range:

  • $73,600.00 - $110,400.00
  • This position is bonus eligible
  • Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.ย 

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara atย llara@allegisgroup.comย or call 410-579-3526 for other accommodation options.

Employment Type: FULL_TIME