Who We Are

Accommodations Plus International (API) is a technology and services company focused on driving innovation across the travel and transportation industry. We partner with organizations in the airline, cruise, and rail sectors to deliver solutions that improve layover operations, enhance customer experience, and support long-term growth.

Our mission is to make layovers simpler and more efficient for crew members—and we bring that to life through deep industry expertise and a practical, results-driven approach.

Today, API’s platform powers over 18 million crew room nights each year for 100+ airlines and travel operators worldwide. Our Global Reach ensures that airline crews are rested, transported, and connected so global aviation runs on time.

At API, we’re building a culture rooted in succeeding and thriving together. It’s a place where people are encouraged to take ownership, develop their skills, and contribute to work that matters.

If you’re looking to grow your career in a company that values steady progress, real impact, and long-term development, we’d like to meet you!

Application Architect — Enterprise & AI

This is a delivery-focused architecture role for someone who loves turning complex business problems into working technical solutions.

As an Application Architect, you’ll be the technical lead on product and platform initiatives — taking requirements from product and engineering and designing the systems needed to deliver them. You’ll work closely with delivery teams, product owners, and engineering leads, making the architecture decisions that keep initiatives on track and technically sound.

You’ll be embedded in delivery — shaping how AI-enabled features, integrations, and services are designed and built responsibly, with security and compliance embedded from the start.

What you’ll own

Solution design for your initiatives.

You translate product and business requirements into clear, well-reasoned technical designs — component diagrams, integration specs, data models, and sequence flows that engineering teams can build from. You work within enterprise reference architecture, applying the right patterns for the problem at hand.

AI & agent implementation design.

You design AI-enabled features and workflows within your initiatives: LLM integrations, agentic flows, retrieval-augmented generation (RAG), and tool-use patterns. You make these capabilities concrete, buildable, and production-ready — informed by the architectural standards set at enterprise level.

Integration & API design.

You define how your solution integrates with surrounding services, APIs, event-driven systems, and external platforms — with clear contracts, resilience patterns, and well-understood boundaries.

Security & compliance by design.

In partnership with AppSec and risk functions, you ensure security controls, PCI/PII requirements, and responsible AI practices are embedded in solution design — not retrofitted during delivery.

Technical governance within delivery.

You guide and review engineering work throughout the build — attending design sessions, reviewing pull requests where it matters, and helping teams navigate technical decisions without creating bottlenecks.

Estimation & gate input.

You produce Gate 0 (ROM) and Gate 1 (detailed) architecture estimates for your initiatives, with clearly documented assumptions, risk flags, and dependency inventories that product and portfolio teams can plan from.

What you’ll deliver

• Well-documented solution architectures for each initiative — clear enough that engineering teams can build without constant clarification
• Integration designs with explicit API contracts, event schemas, and data ownership boundaries
• Architecture estimates (Gate 0 and Gate 1) with assumptions logs and risk registers
• AI feature designs that are production-ready, governed, and aligned with enterprise AI patterns
• Fewer late-stage surprises caused by integration gaps, compliance oversights, or unresolved NFRs

Our technology environment

You’ll be designing across a modern, cloud-native stack. You don’t need to be an expert in all of it, but you should be able to navigate it confidently and make good architectural decisions within AWS, Java, Angular, Oracle, PostgreSQL, Amazon Kiro, Kafka, SQS, GitHub etc

AI tooling is evolving quickly. We expect our architects to stay close to that evolution — evaluating new ca…