AI 工程师总监
Director, AI Engineer
**我们提供兼职助理计划，允许计划中的助理每周工作20至32小时，并按比例发放薪资，请在申请过程中提及这一点**
### 简介
AI工程师（远程办公可选）
在Capital One，我们正在打造负责任且可靠的AI系统，为银行业带来积极的改变。多年来，Capital One一直致力于利用机器学习创造实时、个性化的客户体验。我们在技术基础设施和世界级人才方面的投入，以及我们在机器学习领域的深厚经验，使我们处于企业利用AI的最前沿。从告知客户异常交易到实时回答他们的问题，我们的AI和ML应用正在为银行业带来人性化和简便性。我们致力于继续建设世界级的应用科学和工程团队，以突破性的产品体验和可扩展、高性能的AI基础设施，交付行业领先的能力。在Capital One，你将帮助将新兴AI能力的变革力量带入，重新定义我们服务客户和企业的方式，这些客户已经爱上了我们所构建的产品和服务。
**团队介绍：**
Intelligent Foundations and Experiences（IFX）团队是实现Capital One AI愿景的核心。我们与公司内部的合作伙伴紧密协作，推动科学和AI工程的最前沿发展，并构建和部署对我们的业务至关重要的专有解决方案，为数百万客户提供价值。我们的AI模型和平台使Capital One各团队能够以负责任且可扩展的方式，利用AI的变革力量提升其产品。
**Capital One欢迎为该职位招聘远程员工。**
**你将负责：**
- 与跨职能的工程师、研究科学家、技术项目经理和产品经理团队合作，交付改变我们员工工作方式和客户与Capital One互动方式的AI驱动产品。
- 负责AI软件组件的设计、开发、测试、部署和支持，包括基础模型训练、大语言模型推理、相似性搜索、安全机制、模型评估、实验、治理和可观测性等。
- 在广泛的堆栈中做出高判断力的自建与采购决策，
查看英文原文
**We offer a Part-Time Associate Program which allows associates in the program to work 20 to 32 hours per week at a prorated salary, please mention this in your application process**
### Overview
Director, AI Engineer (Remote Eligible)
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 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 our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, 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.
**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 our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy 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.
**Capital One is open to hiring a Remote Employee for this opportunity.**
**What You’ll Do:**
- 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.
- Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model 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.
- 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 the state-of-the-art in AI.
- Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline
- Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks
- Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness
- Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards
**The Ideal Candidate:**
- You love to build systems, take pride in the quality of your work, and also 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that 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 Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
- At least 3 years of people leadership experience
**Preferred Qualifications:**
- 5+ years of experience managing and leading an engineering team
- 7+ 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 (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- Experience in building agentic AI systems and agentic workflows
- 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
- Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently
- Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks
- Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews)
- Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
_**Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.**_
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer
Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer
McLean, VA: $269,100 - $307,200 for Director, AI Engineer
New York, NY: $293,600 - $335,100 for Director, AI Engineer
Richmond, VA: $244,700 - $279,200 for Director, AI Engineer
San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer
San Jose, CA: $293,600 - $335,100 for Director, AI Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the [Capital One Careers website](https://www.capitalonecareers.com/benefits). Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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](mailto:RecruitingAccommodation@capitalone.com). All information you provide will be kept confidential and will be 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](mailto: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).