Senior AI Solutions Architect

A leading global airline and one of the largest aviation companies in the world, operating an extensive international and domestic flight network. The organisation serves millions of passengers annually, managing a complex ecosystem of digital services, customer experiences, operational systems, and mission-critical technology platforms.

With a strong focus on digital transformation and innovation, the company is investing in advanced AI capabilities to enhance operational efficiency, improve customer experiences, and develop next-generation intelligent systems.

As an Architect within the Agentic System Layer (ASL) team, you will define and drive the technical architecture of an enterprise-grade agentic AI platform.

The platform aims to enable the development, orchestration, and deployment of intelligent AI agents capable of interacting with tools, systems, and data to support complex business workflows.

You will play a key role in shaping the architectural foundations, ensuring that agentic AI solutions are scalable, reliable, secure, and ready for production adoption across the organisation.

You will join the Agentic System Layer (ASL) team, responsible for building the foundational infrastructure and architecture that enables enterprise-wide adoption of agentic AI.

The team works at the intersection of AI engineering, distributed systems, and software architecture, collaborating closely with ML engineers, software engineers, and other technical stakeholders to turn emerging AI capabilities into robust, production-ready solutions.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

Day-to-day responsibilities include designing and evolving the architecture for multi-agent orchestration systems tools.
Use frameworks and LLM integration pipelines.
Establishing patterns for agent reliability, observability, and guardrails at production scale.
Leading technical design reviews and producing architecture decision records ADRs.
Collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable.
Evaluating and integrating emerging agentic AI frameworks, e.g., LangGraph, CrewAI, Semantic Kernel, AutoGen.
Defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem.
Mentoring engineers on best practices for building production-grade AI systems.

10 years of software architecture experience, with at least 3 years designing AI/ML platform systems, including hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar

Deep expertise in distributed systems design, microservices architecture, event-driven patterns, and API design (REST/gRPC), with strong proficiency in Python and at least one of Java, Go, or TypeScript

Production experience building and deploying agentic AI systems or LLM-powered applications at scale, including prompt engineering, tool-use patterns, RAG pipelines, and agent reliability observability