Senior Lead AI Engineer
AI summary of the role
Senior Lead AI Engineer on the Intelligent Foundations and Experiences (IFX) team, building and deploying proprietary AI systems at scale for a major US bank.
What you’ll do
- Partner with cross-functional teams to deliver AI-powered products for associates and customers.
- Design, develop, test, deploy, and support AI components including foundation model training, LLM inference, similarity search, guardrails, and model evaluation.
- Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
- Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
What you’ll bring
- Bachelor's degree in CS, AI, EE, CE or related + 6 years AI/ML experience, or Master's + 4 years.
- At least 6 years programming with Python, Go, Scala, or Java.
- 7 years deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure, or equivalent).
- Experience developing AI/ML algorithms (LLM Inference, VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
Technologies
AWS Ultraclusters · Huggingface · VectorDBs · Nemo Guardrails · PyTorch · Python · Go · Scala · Java · LLM Inference
About Capital One
US consumer bank and largest credit card issuer; cloud-native operator running credit cards, auto loans, retail banking, and now the Discover network on AWS.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
Senior Lead AI Engineer 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 [... source excerpt omitted ...] ms 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 stac [... source excerpt omitted ...] rdrails, 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.
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