About the job :

The Principal AI Engineer will help shape and lead the development of reusable, production-grade AI components as part of the AI Delivery Hub.

You'll work hands-on across architecture, prototyping, coding, evaluation, and production engineering, ensuring that AI-powered services are secure, reliable, and efficient.

As a Senior AI Specialist within AI Delivery Hub pods, you'll collaborate with engineers and teams to design orchestration, memory, and evaluation frameworks that accelerate AI adoption across Amadeus.

About The Role :

In this role, you'll combine deep technical knowledge with practical engineering experience. You'll focus on building foundational AI components that ensure quality, resilience, and scalability in AI-delivered solutions. Your collaboration will influence both product design and platform reliability - advancing the company's vision for enterprise-ready AI.

In This Role, You'll :

- Guide the design and implementation of reusable AI components and services.

- Develop orchestration workflows involving multiple models, tooling integrations, and memory management.

- Review and validate AI agent outputs across design, testing, and production phases.

- Collaborate with teams to refine assumptions and optimize technical solutions.

- Define AI engineering practices that strengthen evaluation and quality processes.

- Promote cost efficiency through token monitoring, caching, and operational optimization.

- Contribute to the reliability, security, and observability of AI solutions.

- Support team learning in AI design, prompting, evaluation, and verification.

Your Profile :

- Considerable experience in AI engineering, software architecture, or distributed systems.

- Practical knowledge or hands-on experience with Generative AI, large language models (LLMs), and AI agent frameworks.

- Proficiency in Python or similar modern engineering languages.

- Experience designing and implementing reusable AI services or platforms.

- Understanding of multi-model orchestration, retrieval-augmented generation (RAG), and model evaluation.

- Familiarity with containerization, APIs, microservices, and cloud-native design.

- Sound technical judgment and an ability to make balanced, risk-informed decisions.

- Interest in mentoring and supporting collaborative learning in technical teams.

Technical Environment :

- Languages : Python, Java

- Frameworks : LangChain, LangGraph, Semantic Kernel, AutoGen (or similar)

- Models : Commercial and open-source foundation models

- Data stores : Vector, relational, document, and in-memory databases

- Infrastructure : Docker, Kubernetes, CI/CD, Infrastructure as Code

- Monitoring : Evaluation, tracing, observability, and AI performance tools

What we can offer you :

- A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.

- Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.

- A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life.

- A hybrid working model - We want our employees to do their best work, however the hybrid model works best for them.

- A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.

- A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.

- A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.