
location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI.
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact.
As a Distinguished AI Engineer, you will play a crucial role in architecting and launching conversational experiences powered by state-of-the-art Generative AI capabilities for millions of Capital One customers. You will 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.
You will be a resilient trailblazer, forging new paths to achieve business goals when the route is unknown. You will contribute to the technical vision and long-term roadmap of foundational AI systems, inventing and introducing state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems. Your work will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com. If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. Capital One offers a comprehensive, competitive, and inclusive set of benefits that support your total well-being.
Work model: On-site
Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
McLean, Virginia
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems; Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level; 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; Master's degree in Computer Science, Computer Engineering, or relevant technical field; 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 on top of the latest AI research and AI systems, and judiciously apply novel techniques in production; Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Skills: Machine Learning, Generative Ai, Ai, ML, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Optimization.
Education: Bachelor's degree in Computer Science, Engineering, or AI required with 8+ years experience; Master's degree in Computer Science, Engineering, or relevant technical field preferred.