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Ai Devops Engineer Jobs in Florida (NOW HIRING)

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time Build the cloud platforms powering the next generation of AI innovation.

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time Build the cloud platforms powering the next generation of AI innovation.

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

To expand our capabilities and enhance the AI-centric developer experience we are growing our team, looking for an experienced AI DevOps Engineer. This person will be responsible for delivering key ...

DevOps Engineer

Miami, FL · On-site

$50.25 - $69/hr

Millennium is expanding its Core DevOps Team and is seeking an experienced AI DevOps Engineer to enhance the AI-centric developer experience. The role involves delivering key SDLC capabilities ...

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Eglin, FL · On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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

DevOps Engineer

Tampa, FL · On-site

$49.75 - $68.25/hr

Position Summary The DevOps Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and optimizing CI/CD pipelines, automating infrastructure ...

DevOps Engineer

Orlando, FL · Hybrid

$49.25 - $67.50/hr

DevOps Engineer Location: Orlando, FL, 32801-Hybrid We are seeking a highly skilled DevOps Engineer to join our team. The ideal candidate will have experience in software development, system ...

DevOps Engineer

Orlando, FL · On-site

$49.25 - $67.50/hr

DevOps Engineer ORLANDO, FL 12 Months Only W2 1)UrbanCode Stack (ubuild, urelease, udeploy) Currently using but not married to the stack 2)Jenkins 3)Github 4)Environment Management Currently moving ...

DevOps Engineer

Miami, FL

$50.25 - $69/hr

DevOps Engineer Location: Miami, FL, 33101 About the Role We are seeking a skilled and motivated DevOps Engineer to join our dynamic team in Miami, FL. The ideal candidate will be responsible for ...

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

Job Title: DevOps Engineer Location: North Andover, MA, USA (Onsite / Hybrid as applicable) Job Summary We are seeking a Mid-Level DevOps Engineer to join our growing technology team in North Andover ...

Devops Engineer

Orlando, FL · On-site

$49.25 - $67.50/hr

Devops Engineer Orlando, FL Long Term W2 role no C2C at this moment. Thanks! Top Three Skills: 1.) Experience writing/creating scripts in Ant/Python/Bash/Shell. Example: Automate Jenkins backbone to ...

DevOps Engineer

Doral, FL · On-site

$50.50 - $69/hr

Job Title DevOps Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required None ...

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Showing results 1-20

Ai Devops Engineer information

See Florida salary details

$12

$45

$64

How much do ai devops engineer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for ai devops engineer in Florida is $45.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $51.92 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 Florida? For Ai Devops Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Florida look for? The top searched job categories for Ai Devops Engineer jobs in Florida are:
AI DevOps Engineer (AWS)

AI DevOps Engineer (AWS)

Capco

Orlando, FL

$49.25 - $67.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

AI DevOps Engineer (AWS)

Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time

Build the cloud platforms powering the next generation of AI innovation.

The Role

Capco is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities. Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.

This is a senior individual contributor opportunity for someone who enjoys hands-on engineering, automation, cloud-native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.

What You’ll Do

  • Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
  • Develop Infrastructure as Code using Terraform (preferred), AWS CloudFormation, or equivalent technologies while building automated CI/CD pipelines for AI applications and services.
  • Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
  • Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
  • Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.

What We’re Looking For

  • 5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
  • Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash.
  • Experience implementing monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
  • Strong troubleshooting, communication, collaboration, and stakeholder engagement skills with the ability to work effectively across cross-functional engineering teams.

Bonus Points For

  • Experience with Microsoft Azure and/or Google Cloud Platform.
  • Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
  • Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
  • Experience working within Financial Services or other highly regulated industries.
  • AWS Certified DevOps Engineer – Professional, AWS Solutions Architect, or Azure/Google Cloud certifications.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across Financial Services and Energy.

Benefits

  • Medical, Dental, and Vision coverage.
  • 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
  • Maternity and paternity leave, dependent care support, and tuition reimbursement.
  • Wellness reimbursement and Working Advantage employee discount marketplace.
  • A people-first culture focused on continuous learning, career growth, and professional development.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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Capco logo

About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958