AI Engineer 4 (AI Foundations, LLM Customization and Finetuning)
Capital One1 day ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$215k - $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 systems involving foundation-model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, and observability.
- Develop optimization techniques for production foundation models to improve scalability, cost, latency, throughput, and hardware utilization.
- Own end-to-end architecture and contribute to the technical vision and roadmap for foundational AI systems.
- Define and maintain AI reliability objectives covering latency, uptime, and model-performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and model-inference pipelines.
- Lead technical reviews for AI deployments covering security, data governance, and compliance.
- 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 4 years of experience developing AI and ML algorithms or technologies, or a master's degree in one of those 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 tradeoffs involving cost, latency, throughput, and accuracy.
- Preferred 6 years of experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience developing and supporting AI services and AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory.
- Experience optimizing training and inference software and improving hardware utilization, latency, throughput, and cost.
- Experience building agentic AI systems and workflows.
- Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Experience defining AI model-governance processes, lineage tracking, and automated retraining schedules.
- Ability to influence architectural decisions across multiple AI product lines or platforms.
Benefits
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One offers health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- The role is posted for a minimum of 5 business days and is available across listed locations including Cambridge, McLean, New York, San Francisco, and San Jose.
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.