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Distinguished AI Engineer

Distinguished AI Engineer

ExecutivePlacements.comWashington, DC, United States
8 hours ago
Job type
  • Full-time
Job description

Distinguished AI Engineer

Overview : At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real‑time, personalized customer experiences. Our investments in technology infrastructure and world‑class talent, along with our deep experience in machine learning, position us 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 bring humanity and simplicity to banking. We are committed to building world‑class applied science and engineering teams to deliver industry‑leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure.

Team Description : 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 deliver value to millions of customers.

Responsibilities

In this role, 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. 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 performance scalability, cost, latency, throughput of large‑scale production AI systems. Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.

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. You stay abreast of the latest research and can intuitively understand scientific publications, judiciously applying novel techniques in production. You adapt quickly, thrive on bringing clarity to big, undefined problems, love asking questions, dig deep to uncover the root of problems, and articulate findings concisely. You have the courage to share new ideas even when they are unproven. You possess a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that allows you to exploit 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 8 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in the same fields plus at least 6 years of experience.
  • At least 8 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications

  • 8 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 AI systems.
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP 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 systems, and judiciously applying novel techniques in production.
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
  • Salaries & Benefits

    Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

    Salaries (full‑time) :

  • Cambridge, MA : $263,900 – $301,200
  • McLean, VA : $263,900 – $301,200
  • New York, NY : $287,800 – $328,500
  • San Francisco, CA : $287,800 – $328,500
  • San Jose, CA : $287,800 – $328,500
  • Salary ranges apply only to candidates hired to work at one of these locations. If hired to work in other locations, the pay range associated with that location applies. All amounts represent the compensation Capital One is willing to pay at the time of posting.

    Additional compensation includes performance‑based incentive compensation (cash bonus and / or long‑term incentives) which may be discretionary or nondiscretionary depending on the plan.

    Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting your total well‑being.

    Job Details

  • Seniority level : Mid‑Senior level
  • Employment type : Part‑time
  • Job function : Engineering and Information Technology
  • Industry : Advertising Services
  • Legal & Equal Opportunity

    Capital One is an Equal Opportunity Employer (EOE), including disability and veteran status, committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

    Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries, including, where applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York Citys Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations.

    If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

    For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

    Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools, or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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