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Ai Devops Engineer Jobs in Kansas (NOW HIRING)

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and ... DevOps, CI/CD, and Infrastructure as Code #LI-AK1 Other Requirements: * Regular, reliable ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... DevOps, site reliability engineering (SRE), infrastructure engineering, application operations, or related experience that includes experience: * supporting AI/ML platforms, machine learning ...

Dairiconcepts, L.P.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... DevOps, site reliability engineering (SRE), infrastructure engineering, application operations, or related experience that includes experience: * supporting AI/ML platforms, machine learning ...

Socket.dev

Senior Applied AI Engineer

Overland Park, KS · On-site

$150 - $200/hr

We are building the next generation of AI-driven security operations, transforming how threat ... Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent ...

Garmin Ltd.

Software Engineer - DevOps

Olathe, KS · On-site

$125 - $150/hr

Overview We are seeking a full-time Software Engineer - DevOps at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for providing technical leadership ...

Koch

Supervisor - Analyst and DevOps

Wichita, KS · On-site

The Analyst & DevOps Supervisor is responsible for leading a team of DevOps Engineers and Collaboration Technology Analysts, focusing on coaching, development, and driving continuous improvement in ...

Atlas HXM

$98K - $134K/yr

GitHub Enterprise, GitHub Actions, Azure DevOps, GitLab, Jenkins * Application Security: GitHub ... AI Platforms: ChatGPT Enterprise, Microsoft Copilot, Google Gemini, Claude, Azure AI Foundry, AI ...

Propio

AI Engineer II

Overland Park, KS

$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 ...

Propio

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 ...

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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 9, 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:

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

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

What cities in Kansas are hiring for Ai Devops Engineer jobs?

Cities in Kansas with the most Ai Devops Engineer job openings:

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.

Sr AI Engineer

Lenexa, KS • On-site, Remote

Kiewit Corporation
Construction Materials Wholesalers • 10K+ employees
Learn more about Kiewit Corporationexternal

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

21st of 80 rated construction

Job description

Requisition ID: 181457 

Job Level: Senior Level 

Home District/Group: DHO Information Technology Group 

Department: Technology Group 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

Kiewit is seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and platform APIs that application development teams integrate into their solutions. The ideal candidate has experience building cloud-native backend services and production AI systems using technologies such as Model Context Protocol (MCP), agent-based workflows, Retrieval-Augmented Generation (RAG), and enterprise LLM platforms. This engineer independently delivers complex platform capabilities, mentors junior engineers, and collaborates with architects, product managers, and application development teams.

District Overview

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions. 

Location

This is a full time in office role located in LaVista, NE or Lenexa, KS. 

Responsibilities
  • Design, develop, and deploy reusable AI platform services and backend APIs.
  • Build scalable backend services that orchestrate enterprise AI capabilities.
  • Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
  • Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.
  • Integrate AI platform services with enterprise data platforms and cloud infrastructure.
  • Implement observability, monitoring, logging, and troubleshooting for AI services.
  • Optimize platform performance, scalability, reliability, and cost.
  • Mentor junior engineers through code reviews and technical guidance.
  • Collaborate with architects and application teams on solution implementation.
  • Ensure solutions meet security, compliance, and governance standards.

Technologies & Platforms

  • Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
  • AI: Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, MCP, agent workflows, RAG
  • Cloud: Azure Container Apps, Azure Functions, Docker
  • Data: SQL, PostgreSQL, Azure SQL
  • Tooling: LangFuse, Cursor IDE, Git
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 5+ years of professional software engineering experience
  • 2+ years building production AI services, AI platforms, or reusable AI infrastructure
  • Experience building scalable backend APIs and distributed services
  • Experience with LLM integrations, MCP, AI workflows, and RAG
  • Experience with Docker and cloud-native container platforms
  • Experience building and deploying cloud-native applications
  • Strong SQL and relational database design skills
  • Experience mentoring engineers and delivering complex production software

Preferred Qualifications

  • Experience with Azure AI Foundry, Anthropic Claude SDK, or Azure OpenAI
  • Experience building shared AI platforms, SDKs, or platform APIs
  • Experience with LangFuse, Prisma or Drizzle, Express or Fastify Familiarity with React and Shadcn UI
  • Knowledge of DevOps, CI/CD, and Infrastructure as Code #LI-AK1

Other Requirements:

  • Regular, reliable attendance 
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 

What Kiewit Corporation employees say

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Hours and flexibility

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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