The AI Engineering team is responsible for integrating AI models with different business lines, across teams such as Compliance, Trading, Financial Products, and Business Intelligence
We are looking for a Senior Staff Engineer to lead the design, development, and evolution of large-scale AI infrastructure that powers mission-critical machine learning and generative AI workloads. In this role, you will operate at the intersection of systems engineering, distributed computing, and applied AI, setting technical direction and building platforms that enable teams across the company to develop, train, deploy, and operate AI models reliably at scale
You will be a hands-on technical leader, shaping long-term platform strategy while also diving deep into architecture, performance, and reliability challenges across compute, data, and ML systems
Architect and build large-scale AI infrastructure supporting training, fine-tuning, and deployment of AI models
Define platform standards and reference architectures for distributed training, inference, and model lifecycle management
Lead the design of scalable systems across compute, storage, networking, and orchestration layers (e.g. GPU/accelerator clusters, schedulers, data pipelines)
Drive performance, reliability, and cost optimization for AI workloads at scale
Partner with the AI Science team, and relevant business units to translate requirements into robust platform capabilities
Set technical direction and best practices for AI platform development, including scalability, reliability, observability, security, and operational excellence
Evaluate and integrate emerging technologies in AI infrastructure (frameworks, accelerators, serving stacks, tooling)
Mentor senior engineers and act as a subject-matter-expert, influencing architecture beyond your immediate scope