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Ai Devops Engineer Jobs in Kansas (NOW HIRING)

Propio

AI Engineer II - Translation

Leawood, KS · On-site

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

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 ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS

$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 ...

Finite State

Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real ... Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and ...

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 ...

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 ...

Auvik Networks

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... operational data. * Own complex technical problems end-to-end: architect solutions, write ...

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

Follow organizational AI development standards and governance. DevOps & Operations * Support CI/CD pipeline implementation and maintenance. * Assist with deployments and release activities. * Monitor ...

Kiewit

Sr Integrations Engineer

Lenexa, KS · On-site

$97K - $131K/yr

Follow organizational AI development standards and governance. DevOps & Operations * Support CI/CD pipeline implementation and maintenance. * Assist with deployments and release activities. * Monitor ...

Medium

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

The Opportunity ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands‑on ...

Human Agency

Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar ... We believe AI should amplify human potential, not replace it, and we build with that conviction in ...

Torch.AI

Software Engineer II (Python Focus)

Leawood, KS · On-site

$110 - $160/hr

Collaborate with DevOps, security, and platform teams to deliver secure, reliable services ... Torch.AI is an Equal Opportunity / affirmative action employer committed to building a team that ...

New

T-Mobile

Sr 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 ...

Kiewit

Software Engineer II - MCP Development

Lenexa, KS · On-site

$91K - $125K/yr

Follow organizational AI development standards and governance. DevOps & Operations * Support CI/CD pipeline implementation and maintenance. * Assist with deployments and release activities. * Monitor ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Kansas

Ai Devops Engineer information

See Kansas salary details

$14

$53

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How much do ai devops engineer jobs pay per hour?

As of Aug 20, 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:

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.

AI Engineer II - Translation

Propio Language Services

Overland Park, KS • On-site

Full-time

Re-posted 3 days ago

Job description

Job Type
Full-time
Description
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We're committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the translation team and the AI Engineers. This role focuses on developing neural machine translation models optimized for low-resource and specialized languages, improving post-editing workflows, and integrating AI seamlessly with linguist workflows to deliver faster and more accurate translations.
Key Responsibilities:
  • Design, train, and deploy neural machine translation (NMT) systems for multilingual scenarios, with emphasis on low-diffusion languages.
  • Optimize models for low-resource and specialized domain languages, leveraging techniques like transfer learning and few-shot adaptation.
  • Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs.
  • Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback.
  • Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback.
  • Continuously evaluate and benchmark model performance using standardized metrics (BLEU, COMET) and custom domain-specific metrics.
  • Stay current with research advancements in multilingual NLP and low-resource translation techniques.

Requirements
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Computational Linguistics, Statistics, or related field.
  • Strong background in NLP and machine translation systems.
  • Proven experience optimizing models for low-resource or underrepresented languages.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation.

Preferred Qualifications:
  • Prior work in translation, interpretation, summarization, or cross-lingual QA
  • Contributions to open-source NLP projects and translation quality projects
  • Experience working with speech-to-text pipelines or multimodal systems

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