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For Companies At a Glance
- Tasks: Design and develop innovative AI applications to solve real-world business challenges.
- Company: Join American Express, a leader in innovation with a supportive culture.
- Benefits: Enjoy competitive salaries, flexible work options, and comprehensive health benefits.
- Why this job: Make a real impact by embedding AI solutions into critical platforms.
- Qualifications: Passion for Generative AI and strong programming skills in Python or Go.
- Other info: Great career growth opportunities and a dynamic, collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Work Location Options: Hybrid
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviours, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American 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.
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 product mindset, 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 deliver product-driven GenAI opportunities that improve platforms, tooling, and processes.
Minimum Qualifications
- Demonstrated passion for Generative AI and its application to real-world business 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.
Benefits
- 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.
AI Engineer employer: Ethica Consulting
Contact Detail:
Ethica Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space, especially those at American Express. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Generative AI projects or any cool prototypes you've built. This is your chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex challenges with AI solutions. We want to see your thought process in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of Team Amex.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: Make sure to highlight your enthusiasm for Generative AI in your application. We want to see how you've applied it to real-world problems, so share specific examples that showcase your skills and creativity!
Tailor Your Application: Don’t just send a generic CV and cover letter! We recommend customising your application to reflect the job description. Use keywords from the posting to demonstrate that you understand what we're looking for.
Highlight Your Technical Skills: Be sure to list your programming skills and any relevant frameworks you’ve worked with. We’re particularly interested in your experience with Python, LLMs, and data engineering principles, so make those stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining Team Amex!
How to prepare for a job interview at Ethica Consulting
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and its real-world applications. Be ready to discuss specific projects or experiences where you've used LLM frameworks like LangChain or LangGraph, as well as any RAG architectures you've worked with.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex business challenges using AI-first solutions. Think about times when you translated operational issues into innovative tools, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Technical Proficiency
Be prepared to dive deep into your programming skills, especially in Python or Go. Have examples ready that showcase your ability to build both prototypes and production applications, and don’t forget to mention your experience with data engineering principles and machine learning frameworks.
✨Collaborate and Communicate
Since this role involves partnering with multiple teams, practice articulating how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve prioritised and delivered product-driven opportunities in previous roles.
