1947 IT & Software Developer jobs in the US

Capital One jobs

Senior AI Engineer, GenAI Platform

$229,900 - 286,200
Capital One
Park Avenue 299, New York
$229,900 - 286,200
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related disciplines plus a minimum of 6 years of experience in AI and ML algorithm development - Masters degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, along with at least 4 years of experience in AI and ML algorithm development - At least 6 years of experience programming in languages such as Python, Go, Scala, or Java - 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience in designing, developing, integrating, and supporting complex AI systems - Proven capability to lead and mentor engineering teams and influence cross-functional stakeholders - Proficiency in developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using languages like Python, C++, C#, Java, or Golang - Experience in optimizing training and inference software for improved hardware utilization, latency, throughput, and cost - A passion for staying informed about the latest AI research, with a knack for applying new techniques in production - Strong communication and presentation abilities to convey complex AI concepts effectively

Responsibilities

- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to deliver AI-driven products that transform user interactions with Capital One - Design, develop, test, deploy, and maintain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, and governance - Utilize a wide range of Open Source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch - Innovate and implement cutting-edge LLM optimization techniques to enhance the performance of large-scale production AI systems in terms of scalability, cost, latency, and throughput - Contribute to the long-term vision and roadmap for foundational AI systems at Capital One

Description


At Capital One, we are pioneering responsible and dependable AI systems—transforming banking for the better. We have a rich history as leaders in employing machine learning to deliver real-time, customized customer experiences. Our commitment to robust technology infrastructure and exceptional talent positions us at the cutting edge of enterprise AI utilization. From assisting customers with unusual charges to providing immediate answers, our AI applications are enhancing both humanity and simplicity in banking. We are dedicated to continuing to cultivate elite applied science and engineering teams to facilitate our leading-edge capabilities, providing breakthrough product experiences and scalable, high-performance AI infrastructure. Join us to leverage the power of emerging AI technologies, reimagining how we serve our valued customers and create innovative products.
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