AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One2 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$251k - $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 foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability components.
- Optimize foundation model training and inference systems for 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 foster cross-domain technical learning.
Requirements
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of these fields plus at least 4 years of relevant experience.
- At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Preferred experience leading AI system development with cost, latency, throughput, and accuracy tradeoffs.
- Preferred 7 years of experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or an equivalent private cloud.
- Experience developing complex AI systems, agentic AI systems and workflows, LLM inference, similarity search, vector databases, guardrails, and memory.
- Experience optimizing training and inference software, right-sizing models and infrastructure, and applying dynamic inference strategies or model compression.
- Experience architecting unified production pipelines combining rule-based, retrieval-augmented, and generative components.
- Experience defining ethical AI deployment standards covering explainability, fairness, and human-in-the-loop review.
- Strong engineering, mathematics, communication, presentation, and AI research application skills.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Performance-based incentive compensation may include cash bonuses and/or long-term incentives.
- The role is offered in specified U.S. locations with location-dependent full-time annual base salary ranges.
- 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.