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  1. Home
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  3. engineering
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  5. Sr. Distinguished AI Engineer
Capital One logo

Sr. Distinguished AI Engineer

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About Capital One and Our Mission

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent, combined with our deep experience in machine learning, position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.

We are committed to continuing to build world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

About the Team

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact.

The Role and Culture

As a Sr. Distinguished AI Engineer, you will 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. You will be expected to 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.

You will be a resilient trailblazer who loves to build systems and takes pride in the quality of your work. You will thrive on bringing clarity to big, undefined problems, digging deep to uncover root causes, and articulating findings concisely. We value the courage to share new ideas even when they are unproven, and we look for individuals who adapt quickly and possess a strong foundation in engineering and mathematics to exploit optimization opportunities that others miss.

Hiring Process and Application

Capital One is committed to a fair and inclusive hiring process. If you require an accommodation to apply for this position or to participate in the interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

This role is expected to accept applications for a minimum of 5 business days. Please note that no agencies are accepted for this position.

Equal Opportunity and Diversity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries. We are dedicated to fostering a diverse and inclusive environment where everyone can do their best work.

Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleDesign, develop, test, deploy, and support AI software components including foundation model training and LLM inference
  • check_circlePartner with cross-functional teams to deliver AI-powered products that enhance customer and associate experiences
  • check_circleInvent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput
  • check_circleLeverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
  • check_circleContribute to the technical vision and long-term roadmap of foundational AI systems at Capital One
  • check_circleImplement model evaluation, experimentation, governance, and observability for production AI systems

Requirements

  • verifiedBachelor's degree in CS, AI, EE, or related fields plus 10 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or related fields plus 8 years AI/ML experience
  • verified10+ years experience programming with Python, Go, Scala, or Java
  • verified9 years experience deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure)
  • verifiedExperience with LLM Inference, Similarity Search, VectorDBs, Guardrails
  • verifiedExperience optimizing training and inference software for hardware utilization
  • verifiedExperience building multi-modal models (computer vision, speech, OCR, etc.)

Nice to Have

9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud); Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems; Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level; 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 applying novel techniques in production; Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers; Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in applications such as robotics, digital assistants, industrial automation, autonomous driving, or related.

Benefits & Perks

check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
Capital One logo
Company

Capital One

Industry

engineering

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

10+ yrs (Lead)

Education

Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Ai, Python, Go, Scala, Java, Aws, Google Cloud, Azure, Huggingface.

Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 8+ years experience.

Frequently asked questions about Sr. Distinguished AI Engineer at Capital One

What does a Sr. Distinguished AI Engineer at Capital One do?expand_more
Day-to-day, the Sr. Distinguished AI Engineer at Capital One will design, develop, test, deploy, and support ai software components including foundation model training and llm inference; partner with cross-functional teams to deliver ai-powered products that enhance customer and associate experiences; invent and introduce state-of-the-art llm optimization techniques to improve scalability, cost, latency, and throughput; and leverage open source and saas ai technologies such as aws ultraclusters, huggingface, vectordbs, and pytorch.
What are the requirements for this Sr. Distinguished AI Engineer role?expand_more
To qualify for the Sr. Distinguished AI Engineer at Capital One position, applicants should have: Bachelor's degree in CS, AI, EE, or related fields plus 10 years AI/ML experience; Master's degree in CS, AI, EE, or related fields plus 8 years AI/ML experience; 10+ years experience programming with Python, Go, Scala, or Java; 9 years experience deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure); Experience with LLM Inference, Similarity Search, VectorDBs, Guardrails; and Experience optimizing training and inference software for hardware utilization.
Where is the Sr. Distinguished AI Engineer role at Capital One located?expand_more
Sr. Distinguished AI Engineer at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Sr. Distinguished AI Engineer job remote, hybrid, or on-site?expand_more
Capital One has listed this Sr. Distinguished AI Engineer role as on-site.
How much experience is required for this Sr. Distinguished AI Engineer role?expand_more
Sr. Distinguished AI Engineer at Capital One typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Sr. Distinguished AI Engineer role at Capital One?expand_more
Key skills for Sr. Distinguished AI Engineer at Capital One include Machine Learning; Ai; Python; Go; Scala; Java; Aws; and Google Cloud.
What education is required for Sr. Distinguished AI Engineer at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, CE, or related fields with 10+ years experience; and Master's degree in CS, AI, EE, CE, or related fields with 8+ years experience.
What category does the Sr. Distinguished AI Engineer role belong to?expand_more
Sr. Distinguished AI Engineer at Capital One is part of the engineering job category on Recrutus.
Recrutus

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Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Machine LearningAiPythonGoScalaJavaAwsGoogle CloudAzureHuggingface
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