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Ai Developer Operations Engineer Jobs in Kansas (NOW HIRING)

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 ...

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 ...

Senior Applied AI Engineer

Overland Park, KS · On-site

$98K - $135K/yr

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 ...

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 ...

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 ...

$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 ...

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 ...

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 ...

Showing results 21-40

Ai Developer Operations Engineer information

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

What cities in Kansas are hiring for Ai Developer Operations Engineer jobs?

Cities in Kansas with the most Ai Developer Operations Engineer job openings:

Sr AI Engineer

Lenexa, KS • On-site, Remote

Kiewit Corporation
Construction Materials Wholesalers • 10K+ employees

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz


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

Pay

Benefits

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Workplace

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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