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Ai Devops Engineer Jobs in Kansas (NOW HIRING)

Propio Language Services

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

We are seeking an AI Engineer II that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the translation team ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Evaluate and integrate AI-assisted operations tooling and Azure AI services to improve platform reliability and developer productivity. To be successful in this role, you will need: * Bachelor ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Evaluate and integrate AI-assisted operations tooling and Azure AI services to improve platform reliability and developer productivity. To be successful in this role, you will need: * Bachelor ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Evaluate and integrate AI-assisted operations tooling and Azure AI services to improve platform reliability and developer productivity. To be successful in this role, you will need: * Bachelor ...

Foresite

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

We are building the next generation of AI-driven security operations, transforming how threat ... and treat developer well-being as a top priority. As a Google Cloud Premier SecOps Partner, we ...

AI ECD Inc.

Founding Full Stack Developer

Mission, KS · On-site

The Stack Frontend React TypeScript Tailwind CSS Mobile-First Responsive Design Vercel Python AWS Lambda AWS RDS Cognito AI OpenAI Google Gemini Anthropic Claude Multimodal Foundation Models DevOps ...

T-Mobile

Systems Reliability Engineer

Overland Park, KS · On-site

$56.25 - $74.75/hr

Our team designs and builds solutions using Power Platform, Azure DevOps Pipelines, Microsoft Graph APIs, and AI-powered automation to streamline compliance operations while expanding risk visibility ...

Epiq

Software Engineer

Kansas City, KS · Remote

This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing. Key Responsibilities * Design, develop, and deploy AI-driven features and ...

Johnson Controls

$90K - $115K/yr

Partner with engineering, operations, vendors, and business teams to restore service quickly and ... AI), to help identify and evaluate candidates. All hiring decisions areultimately made by human ...

Deloitte

AI Security Engineer Manager

Wichita, KS · On-site

In this role you will be responsible for managing AI defensive technologies and the operations of ... Engineering Excellence with Security Focus Maintain high standards for code quality, scalability ...

@Orchard

Full Stack .NET Developer

Overland Park, KS · On-site

$120K - $140K/yr

... AI-assisted development practices. * Ensure compliance with banking, security, audit, and regulatory requirements. * Contribute to CI/CD pipeline improvements and DevOps automation initiatives. Your ...

Accenture

Forward Deployed AI Engineer

Overland Park, KS · On-site

$132K - $366K/yr

Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You Are: A Forward-Deployed AI Engineer who thrives at the intersection of cutting-edge AI ...

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Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai devops engineer in Kansas is $53.99, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $61.97 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 Kansas?

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

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

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Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $112,291 per year, or $54 per hour.

Associate Artificial Intelligence Engineer

Kansas City, KS • On-site

Park Place Technologies
IT Services • 1 - 5K employees
Learn more about Park Place Technologiesexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

What Park Place Technologies employees say

Pay

Hours and flexibility

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