AI Engineer 5 (Gen AI Platform Services)
Capital One2 days ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$230k - $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 for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, and observability.
- Develop state-of-the-art optimization techniques for large-scale production AI systems, improving scalability, cost, latency, throughput, and hardware utilization.
- Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Lead cost-performance governance reviews tracking GPU utilization, model throughput, and inference cost efficiency.
- Lead design councils and review boards to maintain technical consistency and AI engineering standards.
- Contribute to the technical vision and long-term roadmap for 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 relevant master’s degree plus at least four years of such experience.
- At least six 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 deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or an equivalent private cloud, including seven years of experience.
- Experience designing, developing, delivering, and supporting complex AI systems and LLM inference, similarity search, VectorDBs, guardrails, and memory technologies.
- Experience optimizing training and inference software, building agentic AI systems and workflows, and applying AI research techniques in production.
- Experience architecting heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines.
- Experience defining ethical AI deployment standards covering explainability, fairness, and human-in-the-loop review.
- Ability to balance model performance and operational cost through dynamic inference strategies, model compression, and right-sizing of models, instances, and hardware.
- Excellent communication and presentation skills for explaining complex AI concepts.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The listed full-time annual base salary range is $229,900–$286,200 depending on location; other locations use their applicable pay range.
- Applications are expected to remain open for a minimum of five business days.
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.