Technical Lead - MCP Platform Engineering

Kiewit • Lenexa, KS

1d • Onsite

About The Position

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.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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
• generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior