[Hiring] Senior Staff AI Engineer @Capital One

Role Description

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. 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 our partners across the company to advance the state of the art in science and AI engineering.

What You’ll Do:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including:
  • Foundation model training
  • Large language model inference
  • Agents and multi-agent workflows
  • Similarity search
  • Guardrails
  • Model evaluation
  • Experimentation
  • Governance
  • Observability
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques.
• Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.
• Define and steer the technical AI architecture vision.
• Lead the establishment of AI performance, safety, and transparency standards.
• Drive multi-year platform initiatives that unify data, compute, and model lifecycle management.
• Mentor senior technical leaders across research, data, and engineering disciplines.

Qualifications

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields plus at least 8 years of experience.
• At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java.

Requirements

• Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput, and accuracy.
• 9 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.
• Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang.
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software.
• Experience in building agentic AI systems and workflows.
• Passion for staying abreast of the latest AI research and systems.
• Excellent communication and presentation skills.
• Recognized industry leader in applied AI or machine learning infrastructure.
• Demonstrated experience designing long-term AI infrastructure strategies.
• Experience driving organization-wide adoption of AI safety, alignment, and governance standards.
• Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities.
• Experience right-sizing models, instance counts, and hardware types given requirements.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.