AI Engineer 4 (AI Foundations)
Capital One24 hours ago
San Jose, CA, USA or New York, NY, USAStaff+
Base Salary
$197k - $246k/yr
Responsibilities
- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI components for foundation-model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, experimentation, and observability.
- Invent and apply foundation-model optimization techniques to improve scalability, cost, latency, throughput, and production performance.
- Own the end-to-end architecture and long-term technical roadmap for complex foundational AI systems.
- Define and maintain AI reliability objectives covering latency, uptime, and model-performance drift.
- Optimize GPU/TPU utilization and model-inference pipelines with infrastructure engineering teams.
- Lead technical reviews for AI deployments and ensure security, data governance, compliance, maintainability, observability, and ethical alignment.
- Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least four years of experience developing AI and ML algorithms or technologies, or a master's degree in one of these fields plus at least two years of relevant experience.
- At least four years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading AI-system development with tradeoffs involving cost, latency, throughput, and accuracy.
- Preferred experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud, including six years of cloud AI experience.
- Experience developing and supporting AI services and AI/ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory.
- Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost.
- Experience building agentic AI systems and workflows, distributed systems for model training and inference at petabyte scale, and AI model-governance processes.
- Experience with Python, C++, C#, Java, CUDA, or Go and the ability to influence architectural decisions across multiple AI product lines or platforms.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Full-time annual salary ranges vary by location, from $197,300-$225,100 in McLean, Virginia to $215,200-$245,600 in New York and San Jose.
- Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.