AI Engineer 4 (Gen AI Platform Services: Agentic Systems)
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 foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability components.
- Develop foundation model optimization techniques to improve scalability, cost, latency, throughput, and production performance.
- Own end-to-end architecture for complex AI systems and contribute to the long-term roadmap of foundational AI systems.
- Define and maintain AI service-level 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, and ethical standards.
- 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 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 includes six or more years 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 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/evaluation/online inference at petabyte scale, and AI model governance processes.
- Ability to influence architectural decisions across multiple AI product lines or platforms and apply current AI research in production.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
- The position is eligible for performance-based incentive compensation, including possible cash bonuses and long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Applications are expected to remain open for at least five business days; no agencies please.
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.