Senior Staff AI Engineer (Remote Eligible)

Salary: $286,200 - 326,700 per year Requirements: We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, plus at least 10 years of experience developing AI and ML algorithms or technologies; alternatively, a masters degree in one of these fields plus at least 8 years of relevant experience. We require at least 10 years of programming experience with Python, Go, Scala, CUDA, or Java. Preferred experience includes architecting AI platforms with tradeoffs across cost, latency, throughput, and accuracy. Preferred experience includes 9 years of deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments. Preferred experience includes architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Preferred experience includes leading and mentoring multiple engineering teams and influencing cross-functional stakeholders up to the SVP level. Preferred experience includes developing AI and ML technologies such as LLM inference, similarity search and vector databases, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang. Preferred experience includes applying state-of-the-art techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost. Preferred experience includes building agentic AI systems and agentic workflows. Preferred qualifications include staying current with the latest AI research and systems and applying new techniques thoughtfully in production. Preferred qualifications include strong communication and presentation skills with the ability to explain complex AI concepts clearly to peers. Preferred qualifications include recognition as an industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership. Preferred qualifications include experience designing long-term AI infrastructure strategies that balance cost, scale, ethics, and regulatory compliance. Preferred qualifications include driving company-wide adoption of AI safety, alignment, and governance standards in collaboration with policy, risk, and legal teams. Preferred qualifications include helping shape R&D investment strategy by identifying breakthrough AI capabilities with meaningful business impact. Preferred qualifications include experience right-sizing models, instance counts, and hardware types based on requirements such as context length and token inputs/outputs. Responsibilities: We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with us. We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability. We leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and similar tools. We invent and apply foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems. We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One. We define and guide the technical AI architecture vision, bringing applied research advances into production systems with reliability and scale. We lead the creation of AI performance, safety, and transparency standards that shape model development and deployment across the company. We drive multi-year platform initiatives that unify data, compute, and model lifecycle management within a cohesive enterprise AI architecture. We mentor senior technical leaders across research, data, and engineering disciplines to help develop the next generation of AI leadership at Capital One. Technologies: Agentic AI AI AWS Azure C# Cloud CUDA Golang Hardware Support Java LLM Machine Learning Model Training PyTorch Python Scala More: We are Capital One, building responsible and reliable AI systems to reimagine banking and deliver more human, simple customer experiences. Our Intelligent Foundations and Experiences (IFX) team sits at the center of this effort, partnering across the company to advance AI science and engineering and to build proprietary solutions that serve millions of customers. We offer a remote-eligible opportunity, and we are open to hiring a remote employee for this role. This position is eligible for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package supporting overall well-being. Salary ranges vary by location, and we consider qualified applicants for employment authorization sponsorship for this role. last updated 39 week of 2026