Senior Lead AI Engineer

7 hours ago

Richmond, Virginia, United States Capital One Full time
Job Title: Senior Lead AI Engineer

At Capital One, we are pushing the boundaries of artificial intelligence to revolutionize the banking industry. As a Senior Lead AI Engineer, you will play a critical role in designing, developing, and deploying cutting-edge AI solutions that drive business growth and customer satisfaction.

About the Role:
  • Collaborate with cross-functional teams to develop and implement AI-powered products that transform the way our associates work and customers interact with Capital One.
  • Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • Leverage a broad stack of Open Source and SaaS AI technologies, such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  • 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.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
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 developing AI and ML algorithms or technologies.
  • At least 6 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications:
  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
  • 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 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 abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth, or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state, or local law.

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