Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes). At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI. We are committed to building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.
Team Description
The Intelligent Foundations and Experiences (IFX) team brings our AI vision to life. We work with partners across the company to advance science and AI engineering, building and deploying proprietary solutions central to our business and delivering value to millions of customers. Our AI models and platforms empower teams to enhance products with AI in responsible and scalable ways for the highest leverage impact.
In this role
Partner with cross-functional teams to deliver AI-powered products that change how associates work and how 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.
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 performance, scalability, cost, latency, and throughput of large-scale production AI systems.
Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
You love building systems, take pride in code quality, and are motivated to do the right thing to change banking for good.
You stay abreast of latest research and can apply novel techniques in production from scientific publications.
You adapt quickly, bring clarity to undefined problems, ask questions, and articulate findings clearly, with the courage to share new ideas even if unproven.
You are deeply technical with a strong foundation in engineering and mathematics, and you leverage hardware, software, and AI expertise to optimize opportunities others miss.
You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.
Qualifications
Basic Qualifications
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI/ML algorithms or technologies, OR a Master's degree in related fields plus at least 2 years of experience.
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/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 applying novel techniques in production.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salary and location : The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated. Cambridge, MA: $193,400 - $220,700; McLean, VA: $193,400 - $220,700; New York, NY: $211,000 - $240,800; San Francisco, CA: $211,000 - $240,800; San Jose, CA: $211,000 - $240,800. Other locations follow the respective location pay range. This role is also eligible for performance-based incentives, which may include cash bonuses and/or long-term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Eligibility varies by status. For accommodations during the recruitment process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical support or questions about recruiting, please email Careers@capitalone.com.
Capital One is an equal opportunity employer (EOE, including disability/vet) and adheres to applicable laws regarding criminal background inquiries.