Senior AI Engineer I in Burgess Hill

Senior AI Engineer I in Burgess Hill

Burgess Hill Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
American Express

At a Glance

  • Tasks: Design and build innovative AI systems that transform customer financial experiences.
  • Company: Join American Express, a leader in innovation and technology.
  • Benefits: Enjoy competitive salaries, flexible work options, and comprehensive health benefits.
  • Other info: Be part of a supportive team focused on your growth and well-being.
  • Why this job: Make a real impact with cutting-edge AI in a dynamic financial environment.
  • Qualifications: Experience in software engineering and AI systems is essential.

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.

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.

The Role As a Senior AI Engineer – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production‑grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements. You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch.

Responsibilities:

  • Design, build, and ship LLM‑powered and agentic product features that change how customers manage their finances.
  • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
  • Architect and implement production‑grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology.
  • Own the systems you build in production, including reliability, latency, cost, and failure modes.
  • Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.

Qualifications:

  • Proven software engineering experience, including meaningful production experience with LLMs or applied ML systems.
  • A track record of shipping AI‑powered or agentic systems that real users depend on.
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • Hands‑on experience with modern LLM tooling and agentic patterns and architectures.
  • Fluency with AI‑assisted and agentic development workflows.
  • Strong sense of ownership and sound technical judgment.
  • Comfort operating with ambiguity and turning it into shipped reliable product.
  • A strong product mindset and customer orientation.

Preferred Qualifications:

  • Experience building agentic systems in fintech or other regulated industries.
  • Experience as a founding engineer or early technical contributor in high‑growth environments.
  • Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
  • Meaningful open‑source contributions, particularly in 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.

About Us At American Express, our culture is built on a 175‑year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.

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.

Senior AI Engineer I in Burgess Hill employer: American Express

American Express is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to shape the future of commerce through cutting-edge AI technology. With a strong commitment to employee well-being, we offer competitive salaries, comprehensive benefits, and flexible working arrangements, ensuring that our team members can thrive both personally and professionally. Join us in a dynamic environment where your contributions directly impact customer experiences and drive meaningful change in the financial services industry.

American Express

Contact Details:

American Express Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer I in Burgess Hill

Join Local Tech Meetups

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Contribute to Open Source Projects

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

Python
Go
TypeScript
AWS
GCP
Kubernetes
REST

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at American Express.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at American Express and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at American Express

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If American Express uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.