Technical Lead - MCP Platform Engineering

Position Overview

We are seeking a hands-on, highly technical Technical Lead to collaborate on the architecture and lead the development / delivery of Model Context Protocol (MCP) solutions that enable AI agents, applications, and enterprise systems to securely interact with business data, APIs, and workflows.

This role will establish engineering standards, mentor developers, drive technical design decisions, and serve as the primary technical authority for MCP implementations for a development team focused on integrations through MCP. The Technical Lead will work closely with Product Owners, Architects, Developers, QA Engineers, AI Engineering teams, and business stakeholders to build scalable, secure, and reusable MCP services that accelerate AI-driven software delivery and business automation.

The ideal candidate possesses strong software engineering experience, API integration expertise, cloud architecture knowledge, and a deep understanding of AI-assisted development practices.

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 role is located in LaVista, NE or Lenexa, KS. 

Responsibilities

Technical Leadership

• Lead the design and implementation of enterprise MCP servers and associated integrations.
• Define and maintain MCP engineering standards, best practices, and governance.
• Contribute as a primary technical decision-maker for MCP-related architecture.
• Conduct architecture reviews, code reviews, and design sessions.
• Provide technical leadership for a team of developers and QA engineers.
• Mentor engineers on MCP patterns, AI-assisted development, and modern engineering practices.
• Drive continuous improvement initiatives and technical innovation.

Architecture & Solution Design

• Design scalable, secure, and maintainable MCP solutions.
• Contribute to MCP server architecture and deployment models.
• Contribute to standards for:
  • Authentication and authorization
  • Rate limiting
  • Error handling
  • Logging and monitoring
  • Tool registration
  • Context management
  • Security and compliance
• Evaluate and recommend frameworks, technologies, and deployment approaches.

Software Development

• Develop and maintain MCP servers, tools, resources, and prompts.
• Build integrations with:
  • REST APIs
  • GraphQL APIs
  • SQL Server
  • Databricks
  • Snowflake
  • Azure Services
  • Internal enterprise applications
• Create reusable components and accelerators.
• Ensure high-quality, maintainable, and testable code

AI & Agent Enablement

• Design MCP interfaces that support AI agents and Copilot experiences.
• Collaborate with AI engineering teams to optimize context delivery.
  • Define standards for:
  • Prompt management
  • Tool discoverability
  • Context windows
  • Agent interaction models
• Evaluate emerging MCP and AI technologies.

DevOps & Operational Excellence

• Implement CI/CD pipelines for MCP deployments.
• Define monitoring and observability standards.
• Ensure production readiness and operational stability.
• Support incident resolution and root cause analysis.
• Establish performance and reliability metrics.

Stakeholder Collaboration

• Partner with Product Owners and business stakeholders to translate requirements into technical solutions.
• Collaborate with Enterprise Architecture and Security teams.
• Communicate technical concepts to both technical and non-technical audiences.
• Participate in roadmap planning and estimation activities.

Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Equivalent practical experience may be considered.

Experience

• 8+ years of software engineering experience.
• 3+ years leading development teams or technical initiatives.
• Experience designing and implementing enterprise APIs and integrations.
• Experience with cloud-native architectures.
• Experience delivering complex software solutions in Agile environments.

Technical Skills

Strong experience with:

• C#
• .NET
• Python
• JavaScript / TypeScript
• REST API development
• SQL Server
• Azure Cloud Services
• Git-based source control
•  CI/CD pipelines

Experience with:

• MCP (Model Context Protocol)
• AI agents and agent frameworks
• Azure Foundry
• Event-driven architecture
• Containerization (Docker)

Preferred Qualifications

• Experience building enterprise MCP servers.
• Experience implementing AI-powered applications.
• Knowledge of Agent-to-Agent (A2A) architectures.
• Experience with Spec-Driven Development (SDD).
• Experience leading AI-assisted development teams.
• Experience in large-scale enterprise environments. #LI-AK1