Amadeus Labs - Principal AI Engineer

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 toolsWhat 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. (ref:hirist.tech)