AI Engineer 5 (Gen AI Platform Services - Agentic Systems) - New York

Requirements:

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 6 years of experience building AI and ML algorithms or technologies; alternatively, a masters degree in one of these fields plus at least 4 years of relevant experience
• We require at least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
• We prefer experience leading AI system development where tradeoffs among cost, latency, throughput, and accuracy must be balanced
• We prefer 7 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments
• We prefer experience designing, building, delivering, and supporting complex AI systems
• We prefer experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
• We prefer experience applying advanced optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost
• We prefer experience building agentic AI systems and multi-agent workflows
• We prefer strong communication and presentation skills, with the ability to explain complex AI concepts clearly to peers
• We prefer experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines
• We prefer experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
• We prefer demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression
• We prefer experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs

Responsibilities:

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• We use Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• We invent and apply state-of-the-art foundation model optimization techniques to improve the scalability, cost, latency, and throughput of large-scale production AI systems
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
• We design, implement, and optimize multi-model orchestration pipelines that integrate LLMs, vector search, and domain-specific models into unified systems
• We establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• We lead team design councils or design review boards to maintain technical consistency and compliance with AI engineering standards
• We mentor Principal- and Manager-level AI engineers to promote cross-domain learning and strengthen organizational technical maturity

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

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At Capital One, we are building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of that mission, working closely with partners across the company to advance AI science and engineering and deliver proprietary solutions that create value for millions of customers. We build and deploy AI models and platforms that help teams enhance products in responsible, scalable ways, and this role is tied to our AI Engineer 5 position focused on Gen AI Platform Services and agentic systems. The position is based in locations including Cambridge, New York, San Francisco, and San Jose, and it is eligible for performance-based incentive compensation and a comprehensive benefits package supporting overall well-being.

last updated 43 week of 2026