Senior Agent-to-agent and Model Context Protocol Developer

Boeing Boeing · Aerospace · North Charleston, SC +6

This role focuses on designing and building technical integrations, service interfaces, and control patterns for AI agents to communicate securely across enterprise systems and workflows. It involves implementing agent interaction patterns, context exchange mechanisms, and tool connectivity for governed execution, requiring strong software development and enterprise integration skills.

What you'd actually do

  1. Design, code, test, and implement software components that enable secure agent-to-agent communication and enterprise system interaction
  2. Build integrations that support Model Context Protocol-based connectivity between agents, tools, and enterprise services
  3. Analyze business and technical requirements to define secure and reliable agent interaction patterns
  4. Develop application logic, APIs, and supporting components for agent orchestration and enterprise workflow execution
  5. Troubleshoot and resolve complex programming, integration, and application design issues

Skills

Required

  • 5+ years of experience in software/application development process, including productionizing and deployment
  • 5+ years of experience with Cloud native development
  • 5+ years of experience with application integration, APIs and Microservices
  • 5+ years of experience with system architecture

Nice to have

  • Experience with agentic AI systems, agent orchestration, or secure AI workflow design
  • Experience with Agent-to-Agent communication patterns or Model Context Protocol implementations
  • Experience building integrations across enterprise applications, cloud services, or APIs
  • Experience with secure access patterns, identity management, or authorization frameworks
  • Experience working in agile delivery environments with frequent prioritization changes
  • Experience supporting enterprise-scale systems in a complex organizational environment
  • Strong troubleshooting skills in application, integration, or runtime issues
  • Experience with modern programming languages and software development frameworks
  • Experience with production support, deployment processes, and software documentation practices
  • Experience with strong collaboration skills with technical and non-technical stakeholders

What the JD emphasized

  • agentic AI concepts
  • agent interaction patterns
  • context exchange mechanisms
  • tool connectivity approaches
  • agent-to-agent communication
  • enterprise system interaction
  • agent orchestration
  • enterprise workflow execution

Other signals

  • designing and building the technical integrations
  • service interfaces
  • control patterns
  • agent interaction patterns
  • context exchange mechanisms
  • tool connectivity approaches