Transformational AI Solutions Engineer

4 days ago


Cambridge, Massachusetts, United States Capital One Full time
About This Role

We are seeking a highly skilled Senior AI Engineer to join our team at Capital One. In this role, you will have the opportunity to design, develop, and deploy cutting-edge AI solutions that drive business value and improve customer experiences.

Overview of Responsibilities

This position involves working closely with cross-functional teams to deliver innovative AI-powered products that transform how our associates work and interact with customers. You will be responsible for designing, developing, testing, deploying, and supporting AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

You will leverage a broad stack of Open Source and SaaS AI technologies, such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Additionally, you will invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems.

As a Senior AI Engineer, you will contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One. Your expertise will help shape the future of our organization and drive innovation in the field of AI.

Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Engineering, or AI, plus at least 3 years of experience developing AI and ML algorithms or technologies, or Master's degree
  • At least 3 years of experience programming with Python, Go, Scala, or Java
Preferred Qualifications
  • 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience developing, delivering, and supporting AI services
  • 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
About Our Benefits

Candidates hired for this role are eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more about our benefits package at the Capital One Careers website.



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