Remote job Sr. Director, AI Engineering (Remote Eligible) Job ID- 1545

MaziCTools; United States; A distancia; USD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Capital One is seeking an AI Engineer to lead the development of AI-powered products and optimizations that enhance customer interactions. This role emphasizes collaboration with engineering and research teams, with a focus on ethical AI development.

The ideal candidate will have extensive experience in AI systems, including leadership roles in engineering teams, and a strong foundation in both computer science and mathematics. Remote work options are available for this position.

Formación

• 10+ years of experience developing or leading AI and ML algorithms, OR 8 years with a Master's.
• 5+ years of people-leadership experience.
• Strong foundation in engineering and mathematics, adept at discovering optimization opportunities.

Responsabilidades

• Partner with cross-functional teams to deliver AI-powered products.
• Oversee design, development, and deployment of AI software components.
• Invent optimization techniques for large-scale production AI systems.

Conocimientos

AI systems

Machine learning

AI algorithms

Cloud platforms

Team leadership

Communication skills

Educación

Bachelor’s degree in Computer Science, Engineering, or AI

Master’s degree in Computer Science or related field

Herramientas

AWS

Google Cloud

Azure

PyTorch

Descripción del empleo

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. We use machine learning to build real‑time, personalized customer experiences and to provide scalable, high‑performance AI infrastructure. This role will help bring emerging AI capabilities to reimagine how we serve our customers and businesses.

Team Description

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI to life. We collaborate with partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that deliver value to millions of customers.

Responsibilities

• Partner with cross‑functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how associates work and how customers interact with Capital One.
• Oversee the design, development, testing, deployment, and support of AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Make high‑judgment build‑vs‑buy decisions across a broad stack of open‑source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
• Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.
• Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
• Foster a culture of learning and staying abreast of state‑of‑the‑art AI.

Ideal Candidate

• Passionate about building systems and taking pride in the quality of work while sharing a commitment to ethical AI.
• Stays current on research, can interpret scientific publications, and applies novel techniques in production.
• Mentors and coaches others, actively driving professional development.
• Adapts quickly to clear complex, undefined problems and digs deep to uncover root causes.
• Communicates findings concisely and confidently, including sharing new ideas even when unproven.
• Has a deep technical foundation in engineering and mathematics, with expertise in hardware, software, and AI to discover optimization opportunities.
• Resilient, trailblazing, and able to forge new paths to achieve business goals in unknown territories.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing or leading AI and ML algorithms or technologies, OR Master’s degree plus at least 8 years of experience.
• At least 5 years of people‑leadership experience.

Preferred Qualifications

• 7 years of experience managing and leading an engineering team.
• 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience developing AI and ML algorithms or technologies such as LLM inference, similarity search and VectorDBs, guardrails, and memory.
• Master’s degree in Computer Science, Computer Engineering, or a relevant technical field.
• Passion for staying abreast of the latest AI research and applying novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Capital One is open to hiring a Remote Employee for this opportunity.