Senior AI Platform Engineer

Salary not available. View on company website.

American Express Global Business travel, City of Westminster

Full time
Permanent
Onsite working

Posted 5 days ago, 17 Jun | Get your application in now to be included in the first week's applications.

Closing date: Closing date not specified

Job ref: 62a048b1bd344a42b511afd301d7929f

Location ref: City of Westminster

American Express Global Business travel

Full Job Description

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., 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 openings available to internal candidates first.
We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
And much more!

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.

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.

Direct job link

https://www.jobs24.co.uk/job/senior-ai-platform-engineer-126989262

Senior AI Platform Engineer

Full Job Description

Direct job link

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