Senior AI Engineer (Gen AI Platform)

Salary: $229,900 - 286,200 per year Requirements:

• 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.

• AI
• AWS
• Azure
• C#
• Cloud
• Golang
• Hardware
• Support
• Java
• LLM
• Machine Learning
• PyTorch
• Python
• Scala

More:

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.

last updated 36 week of 2026