About the role

What will you do at Capital One?

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 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, AI,
Electrical Engineering, Computer Engineering, or related fields plus at least 6
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 4 years of experience developing AI
and ML algorithms or technologies At least 6 years of experience programming
with Python, Go, Scala, or Java

Preferred Qualifications

7 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, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence
cross-functional stakeholders 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
apply novel techniques in production Excellent communication and presentation
skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead
AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York,
NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 -
$286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. 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 [email protected]. 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
[email protected] 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). At Capital One, we’re building a leading
information-based technology company. Still founder-led by Chairman and Chief
Executive Officer Richard Fairbank, Capital One is on a mission to help our
customers succeed by bringing ingenuity, simplicity, and humanity to banking. We
measure our efforts by the success our customers enjoy and the advocacy they
exhibit.

Which skills does this role require?

Machine LearningOptimization TechniquesPresentation SkillsMathematicsTeam LeadershipMentoringLarge Language ModelsFoundation ModelsHuggingfaceNemo GuardrailsPyTorchSoftware DevelopmentData ScienceTechnical Program ManagementProduct ManagementGovernanceC#GCPLLMsProduct StrategyA/B Testing

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