Senior Staff AI Engineer – Agentic AI Platform
Posted 4hrs ago
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Job Description
Senior Staff AI Engineer building Capital One’s agentic AI platforms for responsible, scalable banking experiences. Leading foundational model infrastructure, optimization, governance, and technical strategy.
Responsibilities:
- 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, vector databases, 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 breakthroughs into reliable production ecosystems
- Lead company-wide AI performance, safety, and transparency standards
- 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:
- 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; or a master’s degree in one of these fields plus at least 8 years of such experience
- At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java
- Experience architecting AI platforms with cost, latency, throughput, and accuracy tradeoffs
- 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
- Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
- Ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level
- Experience developing AI/ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang
- Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
- Experience building agentic AI systems and workflows
- Excellent communication and presentation skills
- Recognized industry leadership in applied AI or machine learning infrastructure through patents, publications, or open-source leadership
- Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance
- Experience driving organization-wide adoption of AI safety, alignment, and governance standards
- Ability to shape R&D investment strategy around breakthrough AI capabilities
- Experience right-sizing models, instance counts, and hardware types
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits:
- Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI)
- Comprehensive health, financial, and other benefits supporting total well-being
- Employment authorization sponsorship may be considered for a qualified new applicant
- Reasonable accommodations for applicants with disabilities

















