AI Engineer 4 (AI Foundations, VLM Customization)
Capital One4 days ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$215k - $246k/yr
Responsibilities
- Design, develop, test, deploy, and support AI software components for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, and observability.
- Develop optimization techniques for production AI systems to improve scalability, cost, latency, throughput, and hardware utilization.
- Own end-to-end architecture for complex AI systems and contribute to foundational AI technical vision and roadmap.
- Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and model inference pipelines.
- Lead cross-functional deployment reviews covering security, data governance, compliance, and ethical alignment.
- Mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production.
Requirements
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of these fields plus at least 2 years of relevant experience.
- At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Preferred experience leading AI system development with cost, latency, throughput, and accuracy tradeoffs.
- Preferred 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience developing and supporting AI services, LLM inference, similarity search, vector databases, guardrails, memory, agentic AI systems, and agentic workflows.
- Experience optimizing AI training and inference software for hardware utilization, latency, throughput, and cost.
- Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules.
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
- Strong engineering, mathematical, hardware, software, AI, research-analysis, and problem-solving capabilities.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- The position is eligible for performance-based incentive compensation, including potential cash bonuses and long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role is available in Cambridge, Massachusetts; McLean, Virginia; New York, New York; and San Jose, California, with location-specific salary ranges.
Categories
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.