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 LL - Ms 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 identi... more details
Overview
201 Third Street (61049), United States of America, San Francisco, California
Sr. Distinguished Engineer, Generative AI, Platform Agents and Tooling (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 Sr. Distinguished Engineer, 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 AI platforms.
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 opportunity
Basic Qualifications:
Bachelor's degree in Computer Science, Computer Engineering or a technical field
At least 9 years of experience programming with Python, Go, Scala, or C/C++
At least 6 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 1 year with LLM based conversational AI systems
Preferred 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 with Graph or Network Theory and Graph ML, including relevant frameworks and libraries such as Deep Graph Learning (DGL) or NetworkX
Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.
Experience building an abstracted SDK and familiarity with Haystack, Langchain, or similar.
Experience architecting cloud systems for security, availability, performance, scalability, and cost.
Experience with optimizing and delivering very large models through the MLOps life cycle from exploration to serving.
Experience using Kubeflow Pipelines to deliver models to production.
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 an 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 applications
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.
New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer; $274,800 - $313,600 for Distinguished Machine Learning Engineer
San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer; $291,100 - $332,300 for Distinguished Machine Learning Engineer
Sales Territory or Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer; $232,900 $265,800 for Distinguished Machine Learning 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 theCapital 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 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 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).
