AI Engineer, Sr. (Remote Eligible)

About The Company Capital One is a leading financial services company committed to transforming banking through innovative technology and responsible AI systems. With a longstanding reputation for leveraging machine learning to enhance customer experiences, Capital One continues to invest in cutting-edge infrastructure and top-tier talent. Our mission is to deliver personalized, real-time solutions that simplify banking and foster trust among our customers. As an industry pioneer, we focus on developing scalable, high-performance AI capabilities that drive impactful product experiences and operational excellence. Our dedication to responsible AI practices ensures that technological advancements are aligned with ethical standards, regulatory compliance, and customer trust. Joining Capital One means being part of a forward-thinking organization dedicated to redefining financial services with responsible innovation.

About The Role We are seeking a highly experienced Sr. Staff AI Engineer to join our remote-eligible team. In this pivotal role, you will lead the design, development, and deployment of advanced AI systems that transform how we serve our customers and support our internal teams. You will work collaboratively with cross-functional teams including engineers, research scientists, product managers, and technical program managers to deliver AI-powered solutions that are scalable, reliable, and responsible. Your expertise will help shape the technical vision and long-term roadmap of our foundational AI systems, ensuring they incorporate the latest research breakthroughs and industry best practices. You will also drive initiatives related to AI safety, transparency, and governance, establishing standards that guide company-wide AI development. As a leader, you will mentor senior technical staff, influence organizational strategy, and contribute to the evolution of Capital One’s AI infrastructure, ensuring it remains at the forefront of innovation and ethical standards.

Qualifications

• Bachelor’s Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies
• Master’s Degree in the same fields plus at least 8 years of relevant experience
• Minimum of 10 years programming experience with Python, Go, Scala, CUDA, or Java
• Experience architecting AI platforms with considerations for cost, latency, throughput, and accuracy
• Proven track record of deploying scalable AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or private clouds
• Strong leadership skills with experience mentoring engineering teams and influencing stakeholders at senior levels
• Demonstrated expertise in developing AI algorithms including LLM inference, similarity search, VectorDBs, guardrails, and memory systems
• Knowledge of AI safety, governance, and ethical standards in AI deployment
• Excellent communication skills with the ability to articulate complex AI concepts to diverse audiences
• Recognition as an industry leader through patents, publications, or open-source contributions
• Experience in designing long-term AI infrastructure strategies balancing cost, scale, ethics, and compliance

Responsibilities

• Partner with cross-functional teams to develop AI-powered products that enhance customer interactions and internal workflows
• Design, develop, test, deploy, and support AI software components including foundation models, language model inference, multi-agent workflows, and model governance tools
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and others
• Innovate state-of-the-art foundation model optimization techniques to improve performance metrics such as scalability, latency, and cost-efficiency
• Contribute to the technical vision and roadmap for Capital One’s AI systems, ensuring alignment with industry advancements
• Define and implement AI architecture standards, integrating research breakthroughs into reliable production ecosystems
• Establish and lead AI safety, transparency, and performance standards across the organization
• Drive multi-year initiatives to unify data, compute, and model lifecycle management within an enterprise AI architecture
• Mentor and develop senior technical leaders, fostering a culture of innovation and excellence in AI engineering

Benefits

• Competitive salary and perfo…