Senior Manager, AI Engineer

$234,700 - $267,900/Yr

Capital One - McLean, VA

Full-time - Senior

McLean, VA

Credit Intermediation and Related Activities

About the position

The Senior Manager, AI Engineer at Capital One is responsible for leading the development of responsible and reliable AI systems that enhance customer experiences and streamline banking operations. This role involves collaborating with cross-functional teams to design, develop, and deploy AI-powered products, leveraging advanced technologies and innovative techniques to optimize performance and scalability. The position plays a crucial role in shaping the technical vision and roadmap for foundational AI systems within the organization.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products that enhance customer interactions.
• Design, develop, test, deploy, and support AI software components including foundation model training and large language model inference.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters and PyTorch.
• Invent and introduce state-of-the-art LLM optimization techniques to improve production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 6 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 4 years of experience.
• At least 6 years of experience programming with Python, Go, Scala, or Java.

Nice-to-haves

• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms.
• Experience designing, developing, integrating, delivering, and supporting complex AI systems.
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
• Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang.
• Master's degree in Computer Science, Computer Engineering, or relevant technical field.

Benefits

• Comprehensive health benefits
• Financial benefits including performance-based incentives
• Inclusive workplace policies
• Support for total well-being