AI Engineer 5 (Gen AI Platform Services)
Capital One1 day ago
Richmond, VA, USA +3 moreStaff+
Base Salary
$209k - $286k/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 including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
- Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, throughput, and production performance.
- Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Lead cost-performance governance reviews covering GPU utilization, model throughput, and inference cost efficiency.
- Lead technical design councils or review boards to ensure consistency and compliance with AI engineering standards.
- Contribute to the technical vision and long-term roadmap of foundational AI systems.
- Mentor Principal- and Manager-level AI engineers and promote cross-domain technical learning.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least six years of experience developing AI and ML algorithms or technologies, or a master's degree in a related field plus at least four years of such experience.
- At least six 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 seven years of experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or an equivalent private cloud.
- Experience developing complex AI systems, LLM inference, similarity search, vector databases, guardrails, memory, agentic AI systems, and agentic workflows.
- Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost.
- Experience architecting heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines.
- Experience defining and enforcing ethical AI standards involving explainability, fairness, and human-in-the-loop review.
- Ability to balance model performance and operational cost through dynamic inference strategies and model compression.
- Experience right-sizing models, instance counts, and hardware types based on context length, token inputs, and token outputs.
- Strong engineering, mathematics, research, communication, and presentation skills.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Eligibility varies based on full-time or part-time status, exempt or non-exempt status, and management level.
- The role is eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- The position is full-time and accepts applications for a minimum of five business days.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.