AI Engineer

American Express; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading financial services company seeks an Engineer with advanced skills in Generative AI and Data Engineering to join their Production Management tooling team. This role involves designing and developing AI solutions, collaborating on data engineering, and ensuring production-ready deployments. The ideal candidate will have a Bachelor's in a relevant field and experience with various AI and data frameworks. This position offers competitive compensation and comprehensive benefits, along with opportunities for professional development.

Benefits

Competitive base salaries

Bonus incentives

Comprehensive medical, dental, vision insurance

Flexible working model

Career development and training opportunities

Qualifications

• Hands-on experience with LLM frameworks and RAG architectures.
• Solid understanding of data engineering principles including ETL pipelines.
• Experience with machine learning frameworks.

Responsibilities

• Design and develop Generative AI applications.
• Collaborate with data owners to build data pipelines.
• Prototype production-ready tools leveraging LLMs.

Skills

Generative AI

Data Engineering

Python

Go

Machine Learning

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Kubernetes

Docker

OpenShift

PyTorch

TensorFlow

Job description

At American Express,ourcultureisbuilton a 175-yearhistoryofinnovation,shared values and LeadershipBehaviours, and anunwaveringcommitmenttobackourcustomers,communities, andcolleagues. AspartofTeam Amex,you’llexperiencethispowerfulbackingwithcomprehensivesupportforyourholisticwell-beingandmanyopportunitiestolearnnewskills,developasaleader, andgrowyourcareer.

Here,yourvoiceandideasmatter,yourworkmakesanimpact, andtogether,youwillhelpusdefinethefutureofAmerican Express.

How will you make an impact in this role?

American Express Technologies is seeking an Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.

Key Responsibilities:

• Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations.
• Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions.
• Prototype and deliver production-ready tools leveraging LLMs, embeddings, vector databases, and orchestration frameworks.
• Translate business and operational challenges into AI-first solutions with a productmindset, ensuring they deliver measurable improvements in system reliability, incident response, and user experience.
• Ensure production-ready deployments include appropriate logging, monitoring, and runbooks, maintaining operational excellence alongside innovation.
• Partner with multiple teams across the enterprise to identify, prioritize, and deliverproduct-driven GenAI opportunities that improve platforms, tooling, and processes.

Minimum Qualifications:

• Demonstrated passion for Generative AI and its application to real-worldbusiness problems.
• Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
• Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
• Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments (Kubernetes, Docker, OpenShift).

Preferred Qualifications:

• Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
• Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
• Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
• Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
• 3–5 years of relevant work experience with a Bachelor’s degree in Computer Science, Data Science, or related field.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.