AI Engineer 4 (Gen AI Platform Services: Agentic AI)
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 software components for foundation-model training, LLM inference, agents, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop foundation-model optimization techniques 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 SLOs 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, 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 four years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of those fields plus at least two years of relevant experience.
- At least four years of programming experience with Python, Go, Scala, CUDA, or Java.
- Preferred qualifications include six or more years deploying scalable and responsible AI solutions on cloud platforms, three or more years with Kubernetes, and experience building, delivering, and supporting AI services.
- Experience with LLM inference, similarity search, VectorDBs, guardrails, memory, agentic AI systems, and agentic workflows is preferred.
- Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost is preferred.
- Experience designing distributed systems for model training, evaluation, and online inference at petabyte scale is preferred.
- Experience defining AI model governance processes, including lineage tracking and automated retraining schedules, is preferred.
- Demonstrated ability to influence architecture across multiple AI product lines or platforms is preferred.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
- Applications are expected to be accepted for at least five business days; reasonable workplace accommodations are available.
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.