
Distinguished AI Engineer
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in California, +3 more states.
• Collaborate with engineers, research scientists, technical program managers, and product managers to deliver products powered by AI.
• Design, develop, test, deploy, and maintain AI software components, which encompass foundation model training, large language model 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.
• Create and implement cutting-edge LLM optimization techniques to enhance scalability, cost-effectiveness, latency, and throughput of large-scale production AI systems.
• Contribute to the technical vision and long-term strategy for foundational AI systems at Capital One.
• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, accompanied by a minimum of 8 years of experience in developing AI and ML algorithms or technologies; or a Master’s degree in those fields with at least 6 years of relevant experience.
• A minimum of 8 years of experience in programming using Python, Go, Scala, or Java.
• Preferred experience of 8 years in deploying scalable and responsible AI solutions on cloud platforms.
• Preferred experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Proven ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level is preferred.
• Preferred experience in developing AI and ML algorithms or technologies, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory, utilizing Python, C++, C#, Java, or Golang.
• Preferred experience in developing and applying state-of-the-art techniques for optimizing training and inference software.
• A strong enthusiasm for staying informed about the latest AI research and AI systems and for applying innovative techniques in production is preferred.
• Excellent communication and presentation skills are preferred.
• 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.
• Potential employment authorization sponsorship available for new qualified applicants.
• Reasonable accommodations provided for applicants who require them.
• Drug-free workplace.
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