Job Description

Salary: $229,900 - 286,200 per year Requirements:

• We require a bachelors 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 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 candidates with experience leading AI system development where tradeoffs among cost, latency, throughput, and accuracy were required
• We prefer 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent 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, or memory using Python, C++, C#, Java, CUDA, or Golang
• We prefer experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• We prefer experience building agentic AI systems and agentic 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 the 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

• We partner with cross-functional teams of 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 us
• 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 a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and similar tools
• We invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in 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 design councils and design review boards to maintain technical consistency and alignment with AI engineering standards
• We mentor Principal- and Manager-level AI engineers to encourage cross-domain learning and increase organizational technical maturity

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

More:

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 vision, working closely with partners across the company to advance the state of the art in science and AI engineering. We build and deploy proprietary solutions that serve millions of customers and help teams across Capital One enhance their products with scalable, responsible AI. This role is based in locations including Cambridge, MA, McLean, VA, New York, NY, and San Jose, CA, and offers a competitive salary range by location, performance-based incentive compensation, and a comprehensive benefits package focused on overall well-being. We may also consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 39 week of 2026

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