Technical Lead - MCP Platform Engineering

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., 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.

• 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

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.

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.