Lead AI Engineer with ML expertise

Salary: $197,300 - 245,600 per year Requirements:

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience in developing AI and ML algorithms or technologies, or a Masters degree in the same fields plus at least 2 years of experience in this area.
• Minimum of 4 years programming experience using Python, Go, Scala, or Java.
• 6 years of experience in deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) is preferred.
• Experience in designing, developing, delivering, and maintaining AI services.
• Proficiency in developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using programming languages such as Python, C++, C#, Java, or Golang.
• Familiarity with optimizing training and inference software to enhance hardware utilization, reduce latency, increase throughput, and lessen costs.
• Enthusiasm for remaining updated on the latest AI research and effectively applying innovative techniques in production environments.

• Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that transform both employee functions and customer interactions with Capital One.
• Design, develop, test, deploy, and maintain AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Utilize a wide range of Open Source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, among others.
• Innovate and implement cutting-edge LLM optimization methods to enhance the efficiency - scalability, cost-effectiveness, latency, throughput - of large-scale AI production systems.
• Contribute to the technical strategy and long-term planning for foundational AI systems at Capital One.

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

More:

At Capital One, we are revolutionizing banking by developing responsible and reliable AI systems. As an industry frontrunner in leveraging machine learning, we are dedicated to creating personalized customer experiences in real-time. Our robust technology infrastructure, celebrated talent, and extensive experience in machine learning empower us to lead in AI advancements. Our Intelligent Foundations and Experiences (IFX) team is pivotal in actualizing our AI vision, working collaboratively to enhance our offerings through proprietary solutions that deliver value to countless customers. Joining us means you will be at the forefront of applying emerging AI technologies to reshape how we engage with our customers and improve our services.

last updated 35 week of 2026