Senior AI Platform Engineer

Responsibilities

• Architect and evolve the AI platform: Design scalable, resilient infrastructure for model training, evaluation, deployment and monitoring - spanning both batch and real-time workloads.
• Lead GenAI platform initiatives: Build and maintain internal tooling for LLM orchestration, prompt management, RAG pipelines, guardrails, and evaluation frameworks (e.g. LLM-as-judge, red-teaming workflows).
• Drive MLOps maturity: Own and improve CI/CD for ML models, automated retraining pipelines, model versioning, A/B experimentation, and drift/performance monitoring.
• Build for scale and reliability: Apply software engineering best practices - clean code, testing, observability, SLOs - to ML systems that run in production at enterprise scale.
• Shape the feature ecosystem: Develop and maintain feature stores and data pipelines that serve both online and offline ML use cases, with a focus on low-latency access and data quality.
• Mentor and uplift the team: Act as a technical anchor for junior and mid-level engineers; lead code reviews, architecture discussions, and engineering standards.
• Collaborate cross-functionally: Partner with data scientists, AI engineers, product teams and enterprise architects to translate business requirements into robust platform capabilities.
• Contribute to north star thinking: Identify opportunities to improve developer experience, reduce toil, and build forward-looking platform capabilities that keep Amex GBT ahead of the curve.

Requirements

• Experience: 8+ years of software engineering experience, with at least 3 years focused on ML/AI platform or MLOps engineering. Bachelor's in Computer Science, Engineering or equivalent; Master's a plus.
• Platform engineering depth: Strong proficiency in Python and/or Java; experience building and operating production AI systems end-to-end.
• Cloud & infrastructure: Hands-on AWS expertise (Bedrock, SageMaker, EKS, S3, Lambda, Kinesis, Glue, or equivalents); comfortable with Kubernetes, Terraform, and modern infrastructure-as-code practices.
• MLOps tooling: Practical experience with ML orchestration and experiment tracking tools (e.g. MLflow, Kubeflow, Airflow, Metaflow, or similar); CI/CD for AI workflows.
• Gen AI foundations: Working knowledge of LLM integration patterns - RAG, function calling, prompt engineering, context management, guardrails and LLM observability tooling.
• Agentic AI architecture: Demonstrated experience designing and building agentic systems - including tool-use, multi-agent orchestration frameworks (e.g. LangGraph, AutoGen, CrewAI), memory management strategies, and human-in-the-loop patterns for safe and reliable agent behavior in production.
• Feature & data platform: Familiarity with feature stores (e.g. Feast, Tecton, SageMaker Feature Store) and streaming data patterns (Kafka, Kinesis); strong understanding of data modeling and access patterns for ML.
• Observability & quality: Experience with model monitoring (data drift, concept drift, performance degradation). Solid grounding in testing strategies for AI systems.
• Soft skills: Strong communicator capable of translating complex technical trade-offs to non-engineering stakeholders; collaborative, opinionated but open, and energized by working at the frontier of AI.
• Location
• London, United Kingdom
• The #TeamGBT Experience
• Work and life: Find your happy medium at Amex GBT.
• Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family .
• Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
• Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job op

Benefits

Additional Information

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. American Express Global Business Travel (Amex GBT) Egencia is redefining the future of business travel through AI-powered products and data-driven intelligence. As the world's leading B2B travel platform, we operate at a scale where the engineering decisions you make reach millions of travelers and thousands of enterprise clients globally. We are looking for a Senior AI Platform Engineer to help us design, build and scale the foundation that powers our next generation of AI and ML capabilities - from real-time inference and GenAI applications to the MLOps pipelines and feature infrastructure that underpin them. You'll work at the intersection of platform engineering and applied AI, partnering with data scientists, product managers and applied researchers to turn ideas into production-grade systems.

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