Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Senior Lead AI Engineer based in New York, NY (onsite) at Capital One, leading AI software components and foundational AI systems development for MLX, Agentic AI, and gen AI platform services.

Responsibilities

• Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and maintain AI software components including foundation model training.
• Large language model inference
• 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, Nemo Guardrails, PyTorch, and more
• Invent and apply state of the art LLM optimization techniques to improve the performance of large scale production AI systems across scalability, cost, latency, and throughput
• Contribute to the technical vision and the long term roadmap of 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
• Master'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
• 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#

Benefits

• Health benefits
• Financial benefits
• Other benefits

Overview

At Capital One, we are creating responsible and reliable AI systems that change banking for good. For years, Capital One has been an industry leader in using machine learning to deliver real time, personalized customer experiences, supported by strong technology infrastructure and top talent.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of bringing Capital One's AI vision to life. We partner with teams across the company to advance AI science and engineering, building proprietary solutions central to the business and delivering value to millions of customers. Our AI models and platforms empower teams to enhance products with the transformative power of AI.

In This Role, You Will

• Collaborate 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
• Observability
• 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

The Ideal Candidate

• You love to build systems, take pride in the quality of your work, and share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You ask questions, dig deep to uncover root causes, and articulate findings clearly. You have the courage to share new ideas even when unproven.
• You are deeply technical with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI helps you spot optimization opportunities others miss.
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

BASIC QUALIFICATIONS

• 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
• Master'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
• At least 6 years of experience programming with Python, Go, Scala, or Java

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 an engineering team and influence cross-functional stakeholders
• 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
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers