AI Engineer 5
Core
Design, develop, test, deploy, and support large-scale production AI systems, including foundation model training, LLM inference, multi-agent workflows, and optimization for cost, latency, and throughput.
Role type
Senior IC AI Engineer (Foundation Models & Infrastructure)
Builds
Scalable, high-performance AI infrastructure and proprietary solutions empowering Capital One's products
Domain
Banking / Applied AI & Machine Learning
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, multi-agent workflow design, model optimization, system orchestration, cost-performance governance, technical leadership, mentorship
Preferred skills
Agentic AI systems, heterogeneous AI system architecture, ethical AI deployment standards, dynamic inference strategies, model compression, hardware right-sizing
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Python, Go, Scala, Java, C++, C#
Responsibilities
Design and implement multi-model orchestration pipelines integrating LLMs and vector search; Lead cost-performance governance reviews tracking GPU utilization and inference costs; Mentor Principal and Manager-level AI engineers; Contribute to the technical vision and long-term roadmap of foundational AI systems
Seniority
Senior, hands-on IC with mentorship responsibilities
