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Azure Ai Engineer Jobs in Kansas (NOW HIRING)

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description ... Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

Microsoft Azure AI Engineer certification preferred * Working knowledge of Large Language Models, prompt engineering, context management, and embedding techniques * Experience in Python, REST API ...

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

$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

$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

$50.75 - $68/hr

Preferred : • Experience with Azure AI services or integrating AI/ML workloads into cloud ... Engineer Expert), or AZ-305 (Solutions Architect Expert). Company : Leggett & Platt designs and ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

We're committed to building AI-powered tools to enhance interpreter workflows, automate ... Experience with cloud platforms (AWS, GCP, or Azure) * Experience with LLM APIs, prompt engineering ...

Atlas HXM

$98K - $134K/yr

Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS, and GCP ... Partner with engineering teams to enable secure development while minimizing friction.

Axos Bank

Sr Systems Engineer - Azure

Overland Park, KS · Hybrid

$120K - $150K/yr

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has operated in a regulated environment, brings genuine depth in both Azure infrastructure and Microsoft ...

Epiq

Lead AI Software Engineer

Overland Park, KS · On-site +1

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 ...

Stride

AI at Stride, Inc. Topeka, Kansas

Topeka, KS · On-site

This individual will manage a small team of AI Engineers and occasionally flex roles from UX, ... Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create ...

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How much do azure ai engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for azure ai engineer in Kansas is $47.83, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $55.53 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the most commonly searched types of Azure Ai Engineer jobs in Kansas? The most popular types of Azure Ai Engineer jobs in Kansas are:
What are popular job titles related to Azure Ai Engineer jobs in Kansas? For Azure Ai Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer jobs in Kansas look for? The top searched job categories for Azure Ai Engineer jobs in Kansas are:
Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $99,488 per year, or $47.8 per hour.

Sr AI Engineer

Kiewit Corporation

Lenexa, KS • On-site, Remote

$98K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Kiewit Corporation rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

22nd 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.
 

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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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