At a Glance
- Tasks: Lead the development of Generative AI applications and set technical direction for innovation.
- Company: Join Citi, a global financial institution committed to responsible growth.
- Benefits: Enjoy competitive salary, generous holidays, private medical insurance, and hybrid working options.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Shape the future of AI in finance and make a real impact on enterprise workflows.
- Qualifications: Expertise in Large Language Models and hands-on experience with modern AI frameworks required.
The predicted salary is between 81000 - 99000 £ per year.
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, application development, problem solving and communication to Source to Pay Solutions Technology group.
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Team/Role Overview
Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise-wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re-engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes.
What you’ll do
- Set technical direction for GenAI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards.
- Design, integrate, and evolve GenAI capabilities (LLMs, APIs, agentic workflows, automation) in business-critical applications, focusing on clear value, reliability, and responsible usage.
- Own end-to-end delivery of GenAI enabled features, from solution design and implementation through production rollout, support, and continuous improvement.
- Collaborate daily with global and regional technology and business teams to deliver against regulatory, risk, and transformation priorities.
- Apply agile engineering practices, leveraging iterative delivery, pragmatic architectural decisions, and emerging GenAI/agentic tooling to accelerate outcomes.
- Provide technical leadership and mentorship through hands-on development, code reviews, and design guidance, raising the overall engineering bar.
- Ensure solutions meet Citi standards for security, stability, resilience, and operational control, working closely with architecture, risk, and production support teams.
- Continuously assess and improve system quality, balancing performance, cost, accuracy, and user experience in production GenAI applications.
What we’ll need from you
- Deep expertise in Large Language Models (LLMs), including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints.
- Hands-on experience building GenAI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi-step workflows.
- Proven experience designing and implementing Retrieval-Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re-ranking, metadata filtering).
- Strong understanding of prompt engineering, workflow design, and GenAI optimization, balancing latency, cost, quality, and accuracy trade-offs in production systems.
- Solid grounding in ML/DL concepts, with hands-on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine-tuning where appropriate.
- Experience deploying and operating production GenAI systems, leveraging Docker, cloud-native architecture, production APIs, and monitoring/observability tools, with an emphasis on reliability and scalability.
- Strong hands-on software engineering skills, including Python, FastAPI, async programming patterns, and building high-performance AI-powered APIs.
- Understanding of AI system evaluation, safety, and governance, including hallucination handling, guardrails, feedback loops, and responsible AI considerations, combined with the ability to work independently and communicate effectively in agile environments.
What we can offer you
This role offers the opportunity to shape how Generative AI is responsibly adopted across critical enterprise workflows, influencing both technology strategy and business outcomes. You’ll work at the intersection of platform engineering, AI governance, and large-scale transformation, with clear visibility and impact across the organization.
We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.
By joining Citi Belfast, 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:
- Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure.
- A discretional annual performance related bonus.
- Private medical insurance packages to suit your personal circumstances.
- Employee Assistance Program.
- Pension Plan.
- Paid Parental Leave.
- Special discounts for employees, family, and friends.
- Access to an array of learning and development resources.
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.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
Senior Application Development Lead – Generative AI (Gen AI), Vice President employer: Citigroup Inc.
Citi is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets compliance. As an AI-Driven Securities Finance Product Lead, you will have access to unparalleled growth opportunities, collaborating with top-tier professionals across various teams to shape the future of finance through cutting-edge AI solutions. With a commitment to employee development and a focus on delivering strategic value, Citi stands out as a rewarding place for those seeking meaningful contributions in a regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Application Development Lead – Generative AI (Gen AI), Vice President
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We think you need these skills to ace Senior Application Development Lead – Generative AI (Gen AI), Vice President
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 Citigroup Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citigroup Inc. 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 Citigroup Inc.
✨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 Citigroup Inc. 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.