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Senior Ai Developer Jobs in Kansas (NOW HIRING)

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

Senior Level Home District/Group: DHO Information Technology Group Department: Technology Group ... DevOps, CI/CD, and Infrastructure as Code #LI-AK1 Other Requirements: * Regular, reliable ...

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 ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS

$97K - $131K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

Foresite

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

Foresite is looking for a Senior Applied AI Engineer to shape how state-of-the-art AI and ... and treat developer well-being as a top priority. As a Google Cloud Premier SecOps Partner, we ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS · Hybrid

LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3. We may use artificial intelligence (AI) tools to ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications ...

Locatee AG

$108K - $143K/yr

We are looking for a Senior Product Manager (AI division) to join our dynamic and growing Product ... Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ...

Locatee Ag

$108K - $143K/yr

We are looking for a Senior Product Manager (AI division) to join our dynamic and growing Product ... Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS

$100K - $137K/yr

Serve as a senior-level technical leader within IT Solutions Delivery, responsible for deploying ... DevOps, site reliability engineering (SRE), infrastructure engineering, application operations, or ...

RadNet, Inc.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$98 - $139/hr

Serve as a senior-level technical leader within IT Solutions Delivery, responsible for deploying ... DevOps, site reliability engineering (SRE), infrastructure engineering, application operations, or ...

Auvik Networks

Our senior leaders have a vision for Auvik. They are experienced, knowledgeable, approachable, and ... As a Staff Software Developer on Auvik's AI & Platform team, you'll be a hands-on technical leader ...

Locatee AG

We are looking for a Senior Product Designer to join our dynamic and growing AI & Innovation team ... Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ...

Locatee Ag

We are looking for a Senior Product Designer to join our dynamic and growing AI & Innovation team ... Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ...

Atlas HXM

$98K - $134K/yr

Role Overview We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help ... scalable, developer-friendly solutions. Key Responsibilities * Design and implement secure ...

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Senior Ai Developer information

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

What are the most commonly searched types of Ai Developer jobs in Kansas?

The most popular types of Ai Developer jobs in Kansas are:

What are popular job titles related to Senior Ai Developer jobs in Kansas?

For Senior Ai Developer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Senior Ai Developer jobs in Kansas look for?

The top searched job categories for Senior Ai Developer jobs in Kansas are:

Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Sr AI Engineer

Kiewit Corporation

Lenexa, KS • On-site, Remote

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th 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

Pay

Benefits

Hours and flexibility

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

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