Description
At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business.
Responsibilities:
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance , scalability, cost, latency, throughput , of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams
- Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads
- Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design
- Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds
Requirements:
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
- At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being