Staff AI Engineer – Enterprise Analysis Platform

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Collaborate with engineers, research scientists, technical program managers, and product managers to create AI-driven products

• Design, develop, test, implement, and maintain AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability

• Utilize Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch

• Develop and implement cutting-edge LLM optimization techniques to enhance scalability, cost efficiency, latency, and throughput

• Contribute to the technical vision and long-term strategy for foundational AI systems at Capital One

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or AI, along with a minimum of 8 years of experience in AI and ML algorithm or technology development, or a Master's degree with at least 6 years of relevant experience

• A minimum of 8 years of programming experience in Python, Go, Scala, or Java

• At least 8 years of experience in deploying scalable and responsible AI solutions on cloud platforms (preferred)

• Experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems

• Capability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level

• Experience in developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang

• Master's degree in Computer Science, Computer Engineering, or a related technical field (preferred)

• Experience in developing and applying advanced techniques for optimizing training and inference software

• Enthusiasm for current AI research and AI systems

• Exceptional communication and presentation skills

• Capital One is open to sponsoring a new qualified applicant for employment authorization

🏝️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)

• Comprehensive, competitive, and inclusive health, financial, and other benefits that support total well-being

• Employment authorization sponsorship may be considered for a new qualified applicant

• Reasonable accommodations for applicants who require them