Description
At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life.
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.
- Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment
- Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
- Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
- Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation
The Ideal Candidate:
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You adapt quickly and thrive on bringing clarity to big, undefined problems.
- You are deeply Technical.
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
Basic Qualifications:
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies
- At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java
Preferred Qualifications:
- Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
- 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience designing, developing, delivering, and supporting AI services
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Experience in building agentic AI systems and agentic workflows
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
- Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
- Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms