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Jobs via Dice · 1 hour ago

Lead AI Engineer

McLean, VA

Part-time

Onsite

Senior Level, Lead/Staff

$193K/yr - $221K/yr

4+ years exp

Capital One is creating responsible and reliable AI systems to change banking for good. The Lead AI Engineer will partner with cross-functional teams to deliver AI-powered products and support the development of scalable AI systems, contributing to the technical vision and long-term roadmap of foundational AI systems.

Computer Software

H1B Sponsored

Responsibilities

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our 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, etc

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, throughput - of large scale production AI systems

Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

Qualification

AIML algorithmsPython programmingCloud platformsLarge language modelsAI service developmentOptimization techniquesTeam collaborationAdaptabilityProblem-solvingCommunication skills

Required

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies

At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred

6 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, 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

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 apply novel techniques in production