Senior Engineer - Vice President in London

Senior Engineer - Vice President in London

London Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
Citibank (Switzerland) AG

At a Glance

  • Tasks: Engineer innovative AI solutions that redefine global finance and solve real-world challenges.
  • Company: Join Citi, a leading global finance tech company with a collaborative culture.
  • Benefits: Enjoy competitive salary, 27 days leave, private medical care, and hybrid work options.
  • Other info: Be part of a diverse team committed to mentorship and continuous learning.
  • Why this job: Make a real impact in finance while developing your skills in a dynamic environment.
  • Qualifications: Proven experience in software development, especially with Generative AI and Python.

The predicted salary is between 81000 - 99000 £ per year.

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

About the Team

The Enterprise AI Products team is a small, high‑impact global team within the Citi COO/CTO organisation, dedicated to building innovative AI solutions for the wider bank. We are at the forefront of Generative AI, delivering capabilities that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real‑world business impact.

The Role

This is a senior role within a deliberately flat team structure. You will be expected to take ownership, bring fresh thinking, and collaborate closely with colleagues across disciplines to deliver outcomes that genuinely make a difference. You will write bullet‑proof, production‑grade code — not prototypes — to solve novel problems that sit at the frontier of applied Generative AI. Typical problem spaces you'll work on include intelligent data extraction from unstructured and semi‑structured documents, content classification and routing, cross‑language translation, fraud and document‑tampering detection, and workflow optimisation across business processes. You'll be trusted to turn ambiguous, often first‑of‑a‑kind problems into dependable services that the business can run its operations on. Because these solutions operate in a regulated banking environment, resilience, explainability, and auditability are as important as raw model performance — and you will move fluidly between experimentation, evaluating models, prompts, and architectures, and hardening the winning approach into dependable, scalable production code. You will gain meaningful exposure to AI development and solutions, alongside a broad range of technical work in a fast‑moving, delivery‑focused environment.

Responsibilities

  • Own the design and build of high‑quality, reliable software that scales.
  • Own, lead, and manage technical components end‑to‑end, ensuring alignment with business objectives and the wider product strategy.
  • Work with partners in Risk and other AI platform teams to help evolve Citi technology and procedures.
  • Partner with senior stakeholders to shape a compelling vision and technical roadmap for our products.
  • Provide technical guidance and mentorship to junior team members, elevating the team's overall capability.
  • Ensure software quality through rigorous code reviews, technical design reviews, and a strong testing culture.

What We're Looking For

  • Proven experience as a senior developer, technical lead, or similar role.
  • Working alongside other teams to ensure that solutions work seamlessly across business verticals.
  • Extensive experience crafting prompts across a variety of Generative AI models — you have strong, well‑formed opinions on prompt structure and clarity, approaching it with the same rigor as The Elements of Style brings to writing.
  • Creative mindset – the problems we’re solving often require novel solutions but are constrained by regulatory and compliance requirements.
  • Experience building production systems for one or more of: document/data extraction, NLP‑based classification, machine translation, fraud or anomaly detection, or workflow automation.
  • Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation methodologies.
  • Strong background in functional programming, technical design, and architecture.
  • Proficiency in Python— with hands‑on experience.
  • Exposure to Postgres/Oracle and Kubernetes (Openshift) is valuable.
  • Practical experience with CI/CD tooling (e.g. Jenkins, uDeploy, Tekton, Harness, or equivalent).
  • Exposure to Agentic AI, specifically ADK.
  • Strong problem solving skills, attention to detail, and the ability to troubleshoot distributed problems.
  • Excellent communication and collaboration skills, with the willingness to engage at all levels.
  • Ability to adapt quickly in a dynamic environment where priorities evolve.

Education

  • Bachelor’s degree in computer science, science and engineering, or a related field.
  • Graduate‑level or continuing education in a relevant discipline is a plus.

What we’ll provide you

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends

Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Senior Engineer - Vice President in London employer: Citibank (Switzerland) AG

Citi is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. As the Global Head of Client Experience, you will lead a talented team dedicated to enhancing client satisfaction through cutting-edge AI analytics and a client-centric culture. With ample opportunities for professional growth and a commitment to employee development, Citi stands out as a leader in the financial services sector, making it an ideal place for those seeking meaningful and rewarding careers.

Citibank (Switzerland) AG

Contact Details:

Citibank (Switzerland) AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineer - Vice President in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Citibank (Switzerland) AG or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

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Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior Engineer - Vice President in London

Generative AI
NLP-based classification
Machine Translation
Fraud Detection
Workflow Automation
Python
Postgres

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 Citibank (Switzerland) AG.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citibank (Switzerland) AG 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 Citibank (Switzerland) AG

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 Citibank (Switzerland) AG 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.