AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)
Capital One2 days ago
Cambridge, MA, USA +4 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, LLM inference, agent, similarity search, guardrail, evaluation, governance, experimentation, and observability components.
- Develop optimization techniques that improve the scalability, cost, latency, throughput, and hardware utilization of production AI systems.
- Own end-to-end architecture and contribute to the long-term technical roadmap for foundational AI systems.
- Define and maintain AI reliability service-level objectives covering latency, uptime, and model performance drift.
- Optimize GPU/TPU utilization and model inference pipelines with infrastructure engineering.
- 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 four years of experience developing AI and ML algorithms or technologies; or a master's degree in a related field plus at least two years of such experience.
- At least four years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading AI system development with tradeoff decisions involving cost, latency, throughput, and accuracy.
- Preferred experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience developing 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.
- 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 architecture across multiple AI product lines or platforms.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment and management status.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Full-time annual salary varies by location, with listed ranges from $197,300 to $245,600.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.