Senior Staff AI Engineer – Agentic AI Platform

🔥 9 minutes ago

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $286.2k - $392k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• 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