AI Engineer 4
Capital One2 days ago
Cambridge, MA, USA +2 moreStaff+
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 software for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Optimize foundation model training and inference for 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 inference pipelines.
- Lead technical reviews for AI system deployments, ensuring security, data governance, compliance, 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 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 deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience designing, developing, delivering, and supporting AI services and AI/ML algorithms or technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory.
- Experience optimizing training and inference software and 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, including producibility, lineage tracking, and automated retraining schedules.
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Full-time annual salary varies by location, from $197,300-$225,100 in Cambridge or McLean and $215,200-$245,600 in New York or San Jose.
- Applications are expected to remain open for at least 5 business days.
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.