Lead Ai Engineer Jobs

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Today

Senior Lead AI Engineer

Capital One McLean, VA

McLean, VA

Today

$230k - $262k/yr Full time Senior Ai Engineer Artificial Intelligence

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Job Description

Capital One is hiring a Senior Lead AI Engineer (Intelligent Foundations and Experiences team) to build and deploy responsible, scalable AI systems and LLM-enabled products.

Responsibilities

Collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associate workflows and customer experiences
Design, develop, test, deploy, and support AI software components across foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Use a broad stack of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and related tooling
Develop state-of-the-art LLM optimization techniques to improve production performance, including scalability, cost, latency, and throughput
Help shape technical vision and contribute to the long term roadmap for foundational AI systems at Capital One

Requirements

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a 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

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python, Go, Scala, Java
C++, C#, Golang
AWS, Google Cloud, Azure

Team

The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life
Partners across the company to advance the state of the art in science and AI engineering
Builds and deploys proprietary solutions that support business needs and deliver value to millions of customers
Enables teams across Capital One to enhance products with responsible and scalable AI at high leverage

Benefits

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

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor engineering teams and influence cross-functional stakeholders
Experience developing AI/ML algorithms or technologies (LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost
Strong interest in staying current with AI research and applying novel techniques responsibly in production
Excellent communication and presentation skills to explain complex AI concepts to peers

Compensation

McLean, VA (onsite): USD 229,900 - 262,400 per year
Eligible for performance-based incentive compensation, which may include cash bonuses and/or long term incentives (LTI)

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