Lead AI Engineer

Capital One • San Jose, CA

1d

About The Position

At Capital One, the goal is to create responsible and reliable AI systems to improve banking. Capital One has been a leader in using machine learning for real-time, personalized customer experiences, leveraging investments in technology infrastructure and talent. AI and ML applications are used to inform customers about unusual charges and answer questions in real time, aiming to bring humanity and simplicity to banking. The company is committed to building world-class applied science and engineering teams to deliver industry-leading capabilities, breakthrough product experiences, and scalable, high-performance AI infrastructure. This role will contribute to bringing the transformative power of emerging AI capabilities to reimagine customer and business services. The Intelligent Foundations and Experiences (IFX) team is central to realizing Capital One's AI vision, collaborating with partners across the company to advance AI science and engineering. The team builds and deploys proprietary solutions that are crucial to the business, delivering value to millions of customers. Their AI models and platforms empower other Capital One teams to enhance products with AI in responsible and scalable ways for maximum impact.

Requirements

• 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, or Java

Nice To Haves

• 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, 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
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

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, 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, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior