? High Salary: Lead AI Engineer
Company: Capital One
Location: Washington
Posted on: July 2, 2025
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Job Description:
Job Description Lead 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 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. 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
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 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 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 enable you to see and
exploit optimization opportunities that others miss. - You are a
resilient trail blazer who can forge new paths to achieve business
goals when the route is unknown. Basic Qualifications: - Bachelor's
degree in Computer Science, Engineering, or AI plus at least 4
years of experience developing AI and ML algorithms or
technologies, or Master's degree plus at least 2 years of
experience developing AI and ML algorithms or technologies - At
least 4 years of experience programming with Python, Go, Scala, or
Java Preferred Qualifications: - 6 years of experience deploying
scalable and responsible AI solutions on cloud platforms (e.g. AWS,
Google Cloud, Azure, or equivalent private cloud) - Experience
designing, developing, delivering, and supporting AI services -
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 - Master's degree in
Computer Science, Computer Engineering, or relevant technical field
- 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 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. Cambridge, MA:
$193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 -
$220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for
Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI
Engineer San Jose, CA: $211,000 - $240,800 for Lead 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. 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. 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 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).
Keywords: Capital One, Aspen Hill , ? High Salary: Lead AI Engineer, IT / Software / Systems , Washington, Maryland
