
A global trade association representing approximately 350 airlines, accounting for over 80% of worldwide air traffic. The organization is committed to representing, leading and serving the aviation industry by developing commercial and safety standards, advocating for industry policy, and offering services such as financial solutions and operational safety audits.
Integration Architect to define the integration patterns and interface design for a platform connecting AI systems, centralized orchestration services, and external partners (e.g. airlines).
The role is responsible for defining how systems interact at scale, ensuring robust, secure, and performant system integration across multiple interfaces and protocols.
Integration Architect to define the integration patterns and interface design for a platform connecting AI systems, centralized orchestration services, and external partners (e.g. airlines).
The role is responsible for defining how systems interact at scale, ensuring robust, secure, and performant system integration across multiple interfaces and protocols.
• Define the end-to-end integration architecture, covering interactions between AI platforms, orchestration, and airline systems, ensuring interoperability across multiple integration paradigms
• Establish the API and MCP integration strategy, including:
Definition of the AI-facing MCP exposure layer
Standardized approach for airline API connectivity (proprietary and NDC / Offer & Order)
API lifecycle principles (versioning, governance, reuse)
• Define orchestration and routing patterns to support:
AI-driven request routing across airlines
Aggregation of responses across MCP, APIs and industry standards
Traffic control, optimization, and support for both synchronous and asynchronous patterns
• Specify integration interaction with the caching layer, including:
Routing decisions between cache and airline systems
Retry, fallback, and resilience behavior
Alignment with required data access and performance patterns
• Define a multi-standard integration approach that:
Enables connectivity with airline own MCP servers, airline proprietary APIs and industry-standard APIs
Provides a unified abstraction layer for AI interaction via MCP
Avoids point-to-point integrations through reusable patterns
• Establish security, control, and resilience principles, including:
Authentication and authorization models
API security, traffic control, and system protection mechanisms
Safeguards preventing direct AI access to airline systems
• Define the technology and governance framework for integration, including:
Evaluation criteria for API gateways, middleware, and messaging solutions
Architectural guardrails for implementation teams
Validation principles for vendor and partner integration designs
• Ensure the overall design delivers a single, coherent integration layer, enabling AI-native interactions, orchestrating heterogeneous systems, and supporting future scalability
Deliverables
Experience & Skills