AI Engineer 4
Core
Design, develop, test, deploy, and support large-scale production AI systems including foundation model training, LLM inference, agents, and multi-agent workflows for banking applications.
Role type
Senior IC AI Engineer (Foundation Models & Infrastructure)
Builds
Scalable, high-performance AI infrastructure and proprietary solutions for real-time customer experiences and internal associate tools.
Domain
Financial Services / Large Language Models / Distributed Systems
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agent and multi-agent workflow design, similarity search, vector databases, model evaluation, system observability, GPU/TPU optimization, distributed systems architecture, Python, Go, CUDA, Java
Preferred skills
Leading development of AI systems with cost/latency tradeoff decisions, deploying scalable AI on cloud platforms, building agentic AI systems, designing distributed systems at petabyte scale, defining AI model governance processes
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, AWS, Google Cloud, Azure
Responsibilities
Design and optimize end-to-end architecture for complex AI systems, define and maintain SLOs for AI reliability, collaborate with infrastructure engineering to optimize hardware utilization, lead cross-functional technical reviews for deployments, mentor Principal and Senior Associates on scalable design
Seniority
Senior, hands-on IC with mentorship responsibilities
