Senior Application Development Lead - Generative AI; GenAI), Vice President
Listed on 2026-06-05
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IT/Tech
AI Engineer (Applied/Software)
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 OverviewSource 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.
Whatyou'll do
Senior Application Development Lead (Gen AI) is a senior level position responsible for
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
- 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 Lang Chain, Lang Graph, Llama Index, 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 Tensor Flow
, 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
This role offers the opportunity to shape how…
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