Software Machine Learning Principal Engineer

Job Title

Software Machine Learning Principal Engineer

About the AI Delivery Hub

The AI Delivery Hub is a key engine in Amadeus’ transformation toward an AI‑first organization. It brings together focused, multidisciplinary teams to design, build, and deliver AI products solutions end‑to‑end. Working closely with product and platform teams across different business lines, the Hub accelerates delivery and scales AI across Amadeus’ portfolio by turning proven work into reusable capabilities and real product outcomes.

By joining the AI Delivery Foundry, you’ll be part of a core engineering and delivery team focused on turning successful AI initiatives into reusable building blocks that can be adopted across Amadeus’ products. The team works closely with product teams, platform teams, and business lines to design, assemble, and industrialize AI components and workflows, helping accelerate delivery while ensuring consistency and scalability at global travel scale.

Core Responsibilities

Design and deploy LLM-powered systems embedded either in AI Assistant travel workflows (from conversational planning to booking orchestration) or in all the critical use cases defined by the business lines

Build retrieval, orchestration, and evaluation pipelines

Improve reliability, quality, latency, and cost efficiency of AI-powered travel experiences in production

Develop and maintain evaluation frameworks — automated and human-in-the-loop — to measure answer quality, hallucination rates, and task completion across travel use cases

Partner closely with product to define feasible AI capabilities, translating user needs and platform constraints into technical designs

Instrument systems for observability and learning: logging, telemetry, A/B testing infrastructure to support rapid experimentation

Stay current with the fast-moving LLM and AI Agent ecosystem — models, tooling, integration patterns — and translate relevant advances into production improvements

Collaborate with Amadeus platform and data teams (Universal Distribution, Hospitality, Payments) to access, shape, and integrate the content and APIs that power the travel experience

What Good Looks Like

Has shipped AI/ML systems used by real customers in production — not just research or prototypes

Understands model trade-offs and failure modes: knows when to use a frontier model vs. a fine-tuned smaller model, when to cache, when to fall back

Moves quickly without sacrificing judgment — comfortable making pragmatic engineering decisions under uncertainty

Thinks in systems, not just models: retrieval quality, orchestration reliability, latency budgets, cost per query all matter as much as model selection

Communicates clearly with technical and non-technical stakeholders — can explain a technical trade-off to a PM and a product constraint to an engineer

Requirements

Several years of software engineering experience, with significant hands-on work building and deploying ML or AI systems in production

Strong technical foundation in computer science, applied mathematics, or a related field

Deep, production-level proficiency in Python

Hands-on experience with LLM application development: prompt engineering, retrieval-augmented generation (RAG), function calling, agent orchestration

Experience building and operating data and ML pipelines at scale — not just training models, but serving them reliably

Track record of operating in fast-moving environments — startup, incubation, or high-growth teams where ambiguity is the norm and shipping under pressure is expected

Strong software engineering fundamentals: clean code, testing, CI/CD, observability

Nice to Have

Experience with travel, marketplace, or multi-sided platform domains

Familiarity with AI Assistant platform integration patterns (plugins, skills, function calling, MCP)

Experience with evaluation and quality frameworks for LLM-based systems (automated evals, RLHF, human evaluation pipelines)

Background in information retrieval, search, or recommendation systems

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.

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