Capital One is looking to solve the problem of creating responsible and reliable AI-powered systems to change banking for good by leveraging machine learning and AI capabilities to deliver industry-leading products and experiences.
Requirements
- At least 6 years of experience designing and building data-intensive solutions using distributed computing
- At least 4 years of experience programming with Python, Go, Scala, or Java
- At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- 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
- 6 years of experience designing, developing, delivering, and supporting AI services at scale
- 3 years of experience developing AI and ML algorithms or technologies using Python
- 2 years of experience with Retrieval Augmented Generation (RAG)
Responsibilities
- Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
- Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
- Fine-tune, develop and evaluate machine learning and foundation models,
- Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
- Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
- Leverage a broad stack of Open Source and SaaS AI technologies.
- Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
Other
- Bachelor's degree
- At least 6 years of experience designing and building data-intensive solutions using distributed computing
- Passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business
- Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them.
- Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams.
