Campus – Full Time – AI Engineer – 2027 (UK – Burgess Hill)

American Express is recruiting for the role of Campus – Full Time – AI Engineer – 2027 (UK – Burgess Hill). This graduate AI Engineer role focuses on helping teams explore, build, test and scale AI-enabled solutions. It involves work across machine learning, generative AI, data pipelines and LLM integrations, with collaboration across technical and business partners.

Role details

• Location: Burgess Hill
• Working pattern: Hybrid
• Job type: Full time
• Closing date: 23/10/2026

What you’ll do

• Support the development, testing and integration of AI and machine learning models, LLM integrations, intelligent services or data retrieval pipelines.
• Assist with data collection, preprocessing, transformation and validation for model training, testing, evaluation and implementation.
• Help improve AI-enabled solutions by debugging and strengthening performance, reliability, explainability, maintainability and quality.
• Support model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents or agentic workflows.
• Work with engineering, product, data, risk, security and business partners to implement AI-driven solutions aligned to business requirements.
• Document model parameters, prompts, assumptions, data pipelines, integrations and technical decisions to support reproducibility and knowledge sharing.
• Take part in Agile ceremonies, including sprint planning, stand-ups, demos, retrospectives and code reviews.
• Help ensure AI systems and AI-enabled features align with reliability, safety, governance, security, compliance and escalation expectations.

What they’re looking for

• You need a Bachelor’s or Master’s degree in a technical subject before the full-time start date.
• You need knowledge of Python and foundational data processing technologies.
• You need a foundational understanding of computer science concepts such as data structures, algorithms, object-oriented programming, debugging, testing and problem solving.
• You need a foundational understanding of machine learning concepts, including model training, evaluation, feature engineering and experimentation.
• You need an introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools or generative AI applications.
• You need the ability to support AI and machine learning development, testing, documentation, integration or data pipeline activities under guidance.
• You need awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance and appropriate escalation.
• You need strong communication, collaboration, documentation and learning agility across technical and non-technical teams.

Additional role information

• Experience from coursework, research, projects, open source, internships, hackathons or extracurricular activities is mentioned as preferred.
• There is interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI or AI-enabled software development.
• Familiarity with NLP techniques and model concepts such as embeddings, BERT, transformers or LLMs is listed as preferred.
• Exposure to LLM APIs, prompt engineering, tools, function calling, retrieval patterns or agent workflow concepts is also preferred.