According to Senior Lead Engineer Alexander, working at Capital One is different from what people might expect. Rather than spend his days crunching numbers and analyzing market trends, Alexander stays busy “solving really cool puzzles with really smart people” — a role he considers a “tremendous privilege” to hold. He said his day-to-day work revolves around maintaining the tools and infrastructure tied to one of the company’s enterprise AI/ML platforms, which serves as a foundation for wider tech initiatives. “It lets our data scientists really hit the ground running and start delivering value at a much faster rate,” Alexander explained.
Capital One
Affiliated Profiles
Teams at Capital One
Technological Innovation at Capital One
Recently posted jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads AI engineering teams developing responsible, scalable AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Directs architecture, testing, deployment, optimization, and support of AI platforms; makes build-versus-buy decisions; shapes long-term technical roadmaps; and recruits, mentors, and develops engineering talent.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads machine learning engineering initiatives, delivering scalable production models and software for financial services. Responsibilities include designing ML systems, optimizing data pipelines, deploying cloud-based solutions, using distributed systems, mentoring engineers, recruiting talent, and driving engineering best practices and innovation.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads software engineering teams delivering scalable web, mobile, and integration solutions. Responsibilities include recruiting and mentoring engineers, managing technology projects, overseeing application development and prototypes, and ensuring high availability and performance of business applications. Requires strong software architecture, object-oriented programming, Java, web development, and engineering leadership experience. Preferred experience includes agile methodologies, consumer-facing products at scale, rapid prototyping, interface testing, and additional programming languages and web technologies.
