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Director, Generative Ai Platform
4 months ago
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California
Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible)
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:
- 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 8 years of experience programming with Python, Go, Scala, or C/C++
- 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 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 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.
**Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.**
New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering
San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering
Remote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering
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.
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).
