At a Glance
- Tasks: Lead the adoption of Generative AI across applications, ensuring best practices and technical direction.
- Company: Join Citi, a global financial institution focused on responsible growth and innovation.
- Benefits: Competitive salary, generous holiday allowance, private medical insurance, and hybrid working model.
- Other info: Dynamic environment with opportunities for mentorship and career growth.
- Why this job: Shape the future of Generative AI in critical workflows and make a real impact.
- Qualifications: Expertise in Large Language Models and hands-on experience with modern AI frameworks required.
The predicted salary is between 70000 - 90000 £ per year.
Are you looking for a career move that will put you at the heart of a global financial institution? 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.
Responsibilities
- Set technical direction for Gen AI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards.
- Design, integrate, and evolve Gen AI capabilities (LLMs, APIs, agentic workflows, automation) in business‑critical applications, focusing on clear value, reliability, and responsible usage.
- Own end‑to‑end delivery of Gen AI 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 Gen AI/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 Gen AI applications.
Qualifications
- 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 Gen AI 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 Gen‑AI 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 Gen AI 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.
Benefits
- 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.
- Positive financial and social impact on communities served; Citi supports employee well‑being with benefits designed to help you be well, live well and save well.
- Hybrid working model (up to 2 days at home per week) in Citi Belfast, with a competitive base salary (annually reviewed) and additional benefits such as:
- Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
- Discretional annual performance related bonus
- Private medical insurance packages, Employee Assistance Program, Pension Plan
- Paid Parental Leave, special discounts for employees, family, and friends
- Access to learning and development resources
- Alongside these benefits Citi is committed to ensuring our workplace is welcoming for all. We invite talented individuals from around the world to join, be energized, and thrive.
We think you need these skills to ace Senior Application Development Lead - Generative AI (GenAI), Vice President in Castlereagh
Large Language Models (LLMs)
Gen AI application development
LangChain
LangGraph
LlamaIndex
Hugging Face
Retrieval-Augmented Generation (RAG) systems