2 months ago
Belfast, United KingdomStaff+
Responsibilities
- Set technical direction, reusable patterns, reference architectures, and best practices for Generative AI adoption across applications and teams.
- Design, integrate, and evolve LLM, agentic workflow, automation, and RAG capabilities in business-critical applications.
- Own end-to-end delivery of Generative AI features from solution design and implementation through production rollout, support, and continuous improvement.
- Collaborate with global and regional technology and business teams on regulatory, risk, and transformation priorities.
- Provide hands-on technical leadership through development, code reviews, design guidance, and mentorship.
- Ensure solutions meet Citi standards for security, stability, resilience, and operational control.
- Evaluate and improve production AI systems across performance, cost, accuracy, reliability, and user experience.
- Apply AI evaluation, safety, governance, hallucination handling, guardrails, and feedback-loop practices.
Requirements
- Deep expertise with large language models, including commercial and open-source models such as OpenAI, Gemini, Claude, and Llama.
- Hands-on experience building Generative AI applications with LangChain, LangGraph, LlamaIndex, Hugging Face, agentic workflows, and multi-step workflows.
- Proven experience designing and implementing RAG systems using vector databases such as pgvector, Pinecone, Weaviate, and FAISS, along with hybrid search, re-ranking, and metadata filtering.
- Strong understanding of prompt engineering, workflow design, and Generative AI optimization across latency, cost, quality, and accuracy.
- Grounding in machine learning and deep learning concepts, with hands-on PyTorch and/or TensorFlow experience, including embeddings and model fine-tuning where appropriate.
- Experience deploying and operating production Generative AI systems using Docker, cloud-native architecture, production APIs, and monitoring or observability tools.
- Strong software engineering skills with Python, FastAPI, asynchronous programming patterns, and high-performance AI-powered APIs.
- Understanding of AI system evaluation, safety, governance, responsible AI, hallucination handling, guardrails, and feedback loops.
- Ability to work independently and communicate effectively in agile environments.
Benefits
- Hybrid Belfast working model with up to 2 days working from home per week.
- Full-time role with a business-casual workplace.
- 27 days of holiday plus bank holidays, increasing with tenure.
- Discretionary annual performance-related bonus.
- Private medical insurance packages.
- Employee Assistance Program.
- Pension Plan.
- Paid parental leave.
- Employee, family, and friend discounts.
- Access to learning and development resources.
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.