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Senior AI Engineer, GenAI Platform Services @ Capital One

Capital One
MLOpsRemote • Global$229k-286kPosted about 6 hours ago

Job Description

Salary: $229,900 - 286,200 per year

Requirements:
  • Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related disciplines with a minimum of 6 years of experience in AI and ML algorithm development, or a Masters degree in similar fields with at least 4 years of relevant experience.
  • Minimum of 6 years of programming experience using Python, Go, Scala, or Java.
  • 7 years of experience implementing scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or similar).
  • Background in designing, developing, integrating, and maintaining complex AI systems.
  • Proven ability to lead and mentor engineering teams as well as influence stakeholders across various departments.
  • Experience in developing AI and ML algorithms or technologies using languages such as Python, C++, C#, Java, or Golang.
  • Familiarity with optimizing training and inference processes to enhance hardware efficiency, reduce latency, improve throughput, and minimize costs.
  • Commitment to staying updated on the latest AI research and effectively applying innovative techniques in practical settings.
  • Strong communication and presentation skills, capable of conveying complex AI concepts to peers clearly.
Responsibilities:
  • Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that redefine our associates workflows and customer interactions.
  • Design, build, test, deploy, and maintain AI software components, covering areas such as foundation model training, large language model inference, similarity search, governance, and observability.
  • Utilize a wide range of Open Source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch.
  • Innovate and implement cutting-edge large language model optimization methods to enhance performance metrics such as scalability, cost efficiency, latency, and throughput of extensive production AI systems.
  • Contribute to the technical vision and long-term strategy for foundational AI systems at Capital One.
Technologies:
  • AI
  • AWS
  • Azure
  • C#
  • Cloud
  • Golang
  • Hardware
  • Java
  • Machine Learning
  • PyTorch
  • Python
  • Scala
  • Support
  • LLM

More:

At Capital One, we are dedicated to developing responsible and dependable AI systems that aim to transform banking for good. Our continuous investment in technology infrastructure and a talented workforce allows us to lead the charge in implementing machine learning to provide real-time, personalized experiences for our customers. The Intelligent Foundations and Experiences (IFX) team plays a pivotal role in realizing our AI vision, working in collaboration with various partners across the organization to innovate and deploy proprietary solutions that deliver significant value to millions. We offer competitive compensation, including performance-based incentives, and a robust benefits package that supports our employees well-being.

last updated 24 week of 2026

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