AI Engineer 4 (AI Safety and Multimodal)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, and model evaluation for banking applications.
Role type
Senior IC AI Engineer (AI Safety and Multimodal Systems)
Builds
Proprietary AI platforms and services that enhance Capital One products with responsible, scalable AI capabilities.
Domain
Financial Services / Large Language Models / Multimodal AI / AI Safety
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, multi-agent workflows, similarity search, guardrails, model evaluation, AI red teaming, safety alignment, VLM/MLLM/MM-RAG architectures, Python, Go, CUDA, distributed systems design, GPU/TPU optimization
Preferred skills
Leading development of AI systems with cost/latency tradeoff decisions, deploying scalable AI on cloud platforms, designing agentic AI systems, safety and vulnerability assessment of multi-modal applications, defining AI model governance processes, influencing architectural decisions across AI product lines
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Python, Go, Scala, Java, C++, C#
Responsibilities
Partner with cross-functional teams to deliver AI-powered products, design and maintain end-to-end architecture for complex AI systems ensuring ethical alignment, define and maintain SLOs for AI reliability, collaborate with infrastructure engineering to optimize GPU/TPU utilization, lead cross-functional technical reviews for security and compliance, mentor Principal and Senior Associates on scalable design and research-to-production translation
Seniority
Senior, hands-on IC with mentorship responsibilities
