Senior Staff AI Engineer

Capital One

. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products .

Posted 9/25/2026full-timeRemote • United StatesSenior💰 $286,200 - $392,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudJavaPythonPyTorchScalaGo

About the role

Key responsibilities & impact

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
Invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput
Contribute to the technical vision and long-term roadmap of foundational AI systems
Define and steer technical AI architecture, integrating applied research into reliable, scalable production ecosystems
Establish AI performance, safety, and transparency standards for company-wide model development and deployment
Drive multi-year platform initiatives unifying data, compute, and model lifecycle management under an enterprise AI architecture
Mentor senior technical leaders across research, data, and engineering disciplines

Requirements

What you’ll need

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 10 years of experience developing AI and ML algorithms or technologies; or Master's degree in a related field plus at least 8 years of such experience
At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java
Preferred: Experience architecting AI platforms with cost, latency, throughput, and accuracy tradeoffs
Preferred: 9+ years deploying scalable and responsible AI solutions on cloud platforms
Preferred: Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Preferred: Ability to lead and mentor multiple engineering teams and influence senior cross-functional stakeholders
Preferred: Experience with AI/ML technologies including LLM inference, similarity search, VectorDBs, guardrails, and memory
Preferred: Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Preferred: Experience building agentic AI systems and workflows
Preferred: Experience with current AI research and applying novel techniques in production
Preferred: Excellent communication and presentation skills for articulating complex AI concepts
Preferred: Industry leadership in applied AI or machine learning infrastructure through patents, publications, or open-source leadership
Preferred: Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance
Preferred: Experience driving organization-wide AI safety, alignment, and governance standards
Preferred: Ability to shape R&D investment strategy around breakthrough AI capabilities
Preferred: Experience right-sizing models, instance counts, and hardware types
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities