Lead AI Engineer - Gen AI Platform Services

At Capital One, we are pioneering responsible and innovative AI systems that are redefining banking for the better. As an industry leader in machine learning, we have a strong foundation built on cutting-edge technology and talented professionals. Our Intelligent Foundations and Experiences (IFX) team plays a vital role in bringing our AI vision to life, collaborating across the organization to build proprietary solutions that add value for millions of our customers. We offer a competitive and inclusive benefits package, along with opportunities for growth within a dynamic workplace. Join us in transforming how we serve our customers and elevate their banking experience.

- Bachelors or Masters degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
- Minimum 4 years of experience developing AI and ML algorithms or technologies with a Bachelors degree, or at least 2 years with a Masters degree
- Proficient in programming languages such as Python, Go, Scala, or Java for at least 4 years
- Experience deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, or Azure (6 years preferred)
- Familiarity with designing, developing, and supporting AI services
- Experience with AI and ML algorithms, including LLM Inference, Similarity Search, and VectorDBs, using Python, C++, C#, Java, or Golang
- Skills in optimizing training and inference software for efficiency in hardware utilization, latency, throughput, and cost
- Strong aptitude for staying updated on the latest AI research and effectively applying new techniques in production

- Collaborate with cross-functional teams of engineers, research scientists, technical program managers, and product managers to develop AI-driven products that enhance our operations and customer interactions
- Design, implement, test, deploy, and maintain AI software components, including foundation model training and large language model inference
- Utilize a variety of Open Source and SaaS AI technologies, such as AWS Ultraclusters and PyTorch
- Create and apply innovative LLM optimization techniques to enhance performance metrics like scalability, cost, latency, and throughput
- Contribute to the technical vision and long-term strategy for foundational AI systems at Capital One