Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible)
Company: Capital One
Location: Fort Worth
Posted on: April 25, 2024
Job Description:
Locations: Sales - CA - San Francisco, United States of America,
San Francisco, CaliforniaDirector, Generative AI Platform - Agents
and Tooling - People Leader (Remote Eligible)Our mission at Capital
One is to create trustworthy, reliable and human-in-the-loop AI
systems, changing banking for good. - For years, Capital One has
been leading the industry in using machine learning to - create
real-time, intelligent, automated customer experiences. 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. Because of our investments in
public cloud infrastructure and machine learning platforms, we are
now uniquely positioned to harness the power of AI. We are
committed to building world-class applied science and engineering
teams and continue 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.We are looking for an experienced
Director, AI Platforms to help us build the foundations of our
enterprise AI Capabilities. In this role you will work on
developing generic platform services to support applications
powered by Generative AI. - You will develop SDKs and APIs to build
agents, - information retrieval and - to build - models as a
service for powering generative AI workflows such as optimizing
LLMs via RAG.Additionally you will manage end-to-end coordination
with operations and manage creation of high quality curated
datasets and - productionizing of models along with working with
applied research and product teams to identify and prioritize
ongoing and upcoming services. -Examples of what you'll do:
- Develop abstracted - platform services to support applications
powered by Generative AI
- Develop SDKs and APIs for our user community to power a wide
range of applications such as information retrieval, fraud
detection, AI Assistants, recommendations on our Gen AI platform. -
-
- Design and build RAG service platform orchestrations including
prompt engineering, guardrails, vector databases, API
Grounding
- Build out a Prompt management service via cross organizational
partnerships
- Stay up-to-date with latest advancements in operationalization
of machine learning and GenAI Technologies
- Design and implement capabilities to support MLOps for
foundation models.Capital One is open to hiring a Remote Employee
for this opportunityBasic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering or
a technical field
- At least 8 years of experience programming with Python, Go,
Scala, or C/C++
- At least 5 years of experience designing and building and
deploying enterprise AI or ML applications.
- At least 3 years of experience implementing full lifecycle ML
automation using MLOps(scalable development to deployment of
complex data science workflows)
- At least 4 years of experience leading teams developing Machine
Learning solutions
- At least 5 years of people management experience.
- At least 1 year with LLM based conversational AI
systemsPreferred Qualifications:
- Master's degree or PhD in Engineering, Computer Science, a
related technical field, or equivalent practical experience with a
focus on modern AI techniques. -
- Strong problem solving and analytical skills with the ability
to work independently with ownership, and as a part of a team with
a strong sense of responsibilities.
- Experience designing large-scale distributed platforms and/or
systems in cloud environments such as AWS, Azure, or GCP.
- Experience architecting cloud systems for security,
availability, performance, scalability, and cost.
- Experience with delivering very large models through the MLOps
life cycle from exploration to serving
- Ability to move fast in an environment with ambiguity at times,
and with competing priorities and deadlines. Experience at tech and
product-driven companies/startups preferred. -
- Ability to iterate rapidly with researchers and engineers to
improve a product experience while building the core components of
a Generative AI Platform.
- Experience with one or multiple areas of AI technology stack
including prompt engineering, guardrails, vector
databases/knowledge bases, LLM hosting, advanced RAG and
fine-tuning.
- Experience working with applications that leverage LLMs and
vertical integration with enterprise applicationsCapital 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.New York City (Hybrid
On-Site): $274,800 - $313,600 for Director, Machine Learning
EngineeringSan Francisco, California (Hybrid On-Site): $291,100 -
$332,300 for Director, Machine Learning EngineeringRemote
(Regardless of Location): $232,900 - $265,800 for Director, Machine
Learning EngineeringCandidates 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 -. 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
committed to diversity and inclusion in the workplace. All
qualified applicants will receive consideration for employment
without regard to sex (including pregnancy, childbirth or related
medical conditions), race, color, age, national origin, religion,
disability, genetic information, marital status, sexual
orientation, gender identity, gender reassignment, citizenship,
immigration status, protected veteran status, or any other basis
prohibited under applicable federal, state or local law. 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 . 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 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, Keller , Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible), Executive , Fort Worth, Texas
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