AI Engineer III in Burgess Hill

AI Engineer III in Burgess Hill

Burgess Hill Full-Time 80000 - 98000 £ / year (est.) No working from home possible
American Express

At a Glance

  • Tasks: Build and enhance AI systems that transform customer experiences in finance.
  • Company: Join American Express, a leader in innovation and technology.
  • Benefits: Enjoy competitive salaries, flexible work options, and comprehensive health benefits.
  • Other info: Great mentorship and career growth opportunities await you!
  • Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
  • Qualifications: Experience in software engineering and a passion for AI development.

The predicted salary is between 80000 - 98000 £ per year.

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer‑facing experiences while meeting the high standards for security, explainability, reliability, and compliance required in financial services. We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision‑making, and transform how customers interact, transact, and grow.

As an AI Engineer – Agentic AI, you will be a hands‑on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI‑powered features, while learning how to operate within a regulated, customer‑facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. This is not a research‑only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.

Technical Environment

  • Core Engineering Stack
    • Languages: Python, Go, TypeScript
    • Cloud and infrastructure: AWS and/or GCP, Kubernetes
    • APIs and services: REST, gRPC
    • Distributed systems: event‑driven architectures, including Kafka
  • Agentic AI and ML
    • Commercial and open‑source LLMs integrated into agentic workflows
    • Tooling for agent orchestration, retrieval‑augmented generation, vector storage, and evaluation
    • Schema validation and structured data handling
  • AI‑Assisted Development
    • Use of AI‑assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
    • Learning how to apply these tools responsibly while maintaining production‑quality standards
    • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment

Responsibilities

  • Contribute to the design and implementation of LLM‑powered and agentic product features.
  • Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
  • Help implement and maintain retrieval‑augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
  • Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
  • Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
  • Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.

Qualifications

Minimum Qualifications

  • Demonstrated experience within professional software engineering.
  • Some hands‑on experience building or contributing to AI‑powered features, LLM‑based applications, or applied ML systems (professional or project‑based).
  • Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
  • Familiarity with APIs, basic cloud concepts, and modern development practices.
  • Interest in agentic AI systems, autonomy, and AI‑assisted development workflows.
  • Willingness to learn, take feedback, and grow technical ownership over time.
  • Comfort working in collaborative, cross‑functional teams.
  • A strong customer mindset and curiosity about real‑world problem solving.

Preferred Qualifications

  • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
  • Internship or early‑career experience in fintech or other regulated environments.
  • Contributions to open‑source projects, hackathons, or side projects related to AI or developer tooling.

Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these 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 III in Burgess Hill employer: American Express

American Express is an exceptional employer that fosters a culture of innovation and collaboration, particularly for AI Engineers looking to make a significant impact in the financial services sector. With a strong emphasis on mentorship and professional growth, employees benefit from competitive salaries, comprehensive health benefits, and flexible working arrangements, all while contributing to cutting-edge AI technologies that enhance customer experiences. The supportive environment encourages continuous learning and development, making it an ideal place for those passionate about shaping the future of commerce through agentic AI.

American Express

Contact Details:

American Express Recruitment Team

We think you need these skills to ace AI Engineer III in Burgess Hill

Python
Go
TypeScript
AWS
GCP
Kubernetes
REST