AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
Capital One2 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$251k - $286k/yr
Responsibilities
- 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.
- Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization.
- Lead cost-performance governance reviews covering GPU utilization, model throughput, and inference cost efficiency.
- Contribute to the technical vision and long-term roadmap for foundational AI systems.
- Lead design councils and review boards to maintain technical consistency and AI engineering standards.
- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- 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 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.
- 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 equivalent private cloud environments, including 7 years of cloud experience.
- Experience designing, developing, delivering, and supporting complex AI systems.
- Experience with LLM inference, similarity search, vector databases, guardrails, memory, and agentic AI workflows.
- Experience optimizing training and inference software and right-sizing models, instance counts, and hardware types.
- Experience architecting heterogeneous AI systems that combine rule-based, retrieval-augmented, and generative components.
- Experience defining ethical AI deployment standards involving explainability, fairness, and human-in-the-loop review.
- Strong research orientation, communication, presentation, and technical problem-solving skills.
Benefits
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role offers health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- The position is eligible for performance-based incentive compensation, including potential cash bonuses and long-term incentives.
- The position accepts applications for a minimum of 5 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.