This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are Citi’s Application, Platform and Engineering group, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office. We define the AI and engineering strategy for the bank. We are a team of talented engineers, product managers, and SMEs, taking ambiguous concepts and making them real by engineering cutting-edge products at planetary scale. We are solely focused on the most modern technology and engineering disciplines: generative AI, cloud-native architectures, security, modern app stacks, open-source, and the latest and greatest in the Kubernetes ecosystem.
Job Responsibility:
Engineering at scale: You will build scaled, robust services and platforms centred around generative AI. This may also include developing CLIs, SDKs, runtimes and more
Thought Leadership: Drive architectural vision and lead the 0-1 build of foundational, enterprise-grade AI platforms and products
System Design: Design and build high-quality, highly reliable, and secure distributed systems with developer and user experience at the center
Strategic Direction: Create "firsts" in the Generative AI space for Citi, acting as a core member of the team that defines the strategic technical direction for the entire bank
Scale & Iterate: Continually iterate and scale Generative AI products to handle massive throughput, whilst anticipating and listening to the complex needs of internal customers
Cross-Org Influence: You must be able to drive technical alignment across multiple engineering organizations, breaking down silos to deliver cohesive AI capabilities
Requirements:
14+ Years of Hands on experience is a must have
Expert-level fluency in Golang is a must-have
Deep experience building concurrent, high-throughput systems
Deep expertise in the Kubernetes ecosystem, container orchestration, and modern security paradigms
Understanding of language models, fine-tuning methodologies, and RAG architectures, JIT context retrieval strategies
Proven experience designing control planes, sandboxing systems for AI experimentation, and managing large-scale vector stores and search algorithms
Extensive experience in large-scale ETL development and data pipeline architecture
Experience maintaining and/or contributing to bug bounty, responsible disclosure programs, and AI safety/guardrail implementations
Experience leading technical initiatives within fast-paced startup environments or driving startup-like agility within a large enterprise