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.
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.