Lead AI Engineer
Job Description
The Lead AI Engineer at Capital One will design, deploy, and optimize AI software components and large-scale production AI systems. Based onsite in McLean, VA, this role sits within the Intelligent Foundations and Experiences (IFX) team to deliver AI powered products and scalable, responsible AI solutions.
Responsibilities
- Collaborate with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform 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, among others.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
- Invent and apply state-of-the-art LLM optimization techniques to enhance the performance of large-scale production AI systems, focusing on scalability, cost, latency, and throughput.
- Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in the same fields with at least 2 years of experience in AI and ML development.
- At least 4 years of experience programming with Python, Go, Scala, or Java.
Technologies
- AWS Ultraclusters
- Huggingface
- VectorDBs
- Nemo Guardrails
- PyTorch
- AWS
- Google Cloud
- Azure
- Python
- Go
- Scala
- Java
- C++
- C#
Benefits
- This role is eligible to earn performance-based incentive compensation, which may include cash bonuses 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.
Team Description
The Intelligent Foundations and Experiences (IFX) team is central to bringing Capital One's AI vision to life. We collaborate with partners across the company to advance the state of the art in AI engineering and to build and deploy proprietary solutions that are foundational to our business, delivering value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products with the transformative power of AI.
The Ideal Candidate
- You love building systems, take pride in code quality, and share a commitment to doing the right thing. You work on problems that can change banking for good.
- You stay up to date with the latest research and can interpret scientific publications to judiciously apply novel techniques in production.
- You adapt quickly and bring clarity to large, undefined problems, asking questions and digging deep to uncover root causes, then articulating findings clearly. You have the courage to propose new ideas even when unproven.
- You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to spot optimization opportunities others may miss.
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.