Senior AI Engineer (Gen AI Platform)

At Capital One, we are dedicated to building responsible and reliable AI systems that transform banking for the better. Our commitment to leveraging machine learning for real-time, personalized customer experiences sets us apart as an industry leader. With our advanced technology infrastructure and a talented team, we strive to continue enhancing our applied science and engineering capabilities to deliver exceptional product experiences and scalable AI solutions. Our Intelligent Foundations and Experiences (IFX) team plays a pivotal role in realizing our AI vision, partnering with various stakeholders to elevate our offerings and provide significant value to millions of customers. We offer a competitive and comprehensive array of benefits that promote well-being, and we invite you to join us in reimagining how we serve our customers.

- Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields along with a minimum of 6 years of experience in AI and ML algorithm development or a Masters degree with at least 4 years of experience in the same domain.
- A minimum of 6 years of programming experience in Python, Go, Scala, or Java.
- 7 years of experience in deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or similar private cloud).
- Experienced in designing, developing, integrating, delivering, and supporting intricate AI systems.
- Proven ability to lead and mentor engineering teams and influence stakeholders across various functions.
- Familiarity with developing AI and ML algorithms (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using programming languages like Python, C++, C#, Java, or Golang.
- Skilled in utilizing state-of-the-art techniques to enhance training and inference software for improved hardware utilization, latency, throughput, and cost.
- Strong commitment to staying updated with the latest AI research and systems, and applying innovative techniques in production.
- Excellent communication and presentation abilities, enabling the clear articulation of complex AI concepts to peers.

- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that improve associate workflows and customer interactions 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.
- Utilize a comprehensive array of open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
- Innovate and implement advanced optimization techniques for large-scale production AI systems to enhance performance, scalability, cost-effectiveness, latency, and throughput.
- Contribute to the technical vision and long-term strategy of foundational AI systems at Capital One.