An AI Engineer 3 at Capital One helps build and test responsible and reliable AI systems that are changing banking for good. This role involves designing, developing, and deploying AI software components, contributing to the technical vision of foundational AI systems, and mentoring junior engineers. It suits an engineer with a passion for building systems and applying novel techniques in production to solve big, undefined problems.
Responsibilities
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance (scalability, cost, latency, throughput) of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics
Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments
Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies
Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets
Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation
Requirements
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies
At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java
Nice to have:
Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy
4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Millions of jobs, with real people getting hired every day
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Tailored applications submitted
Experience developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Experience in building agentic AI systems and agentic workflows
Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)
Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems
Benefits
Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Important Details
Locations: Cambridge, MA; McLean, VA; New York, NY; San Jose, CA
Application acceptance period: minimum of 5 business days
About the Company
Capital One is an industry leader in using machine learning to create real-time, personalized customer experiences, leveraging AI to bring humanity and simplicity to banking. The Intelligent Foundations and Experiences (IFX) team is central to bringing its vision for AI to life, building and deploying proprietary solutions that deliver value to millions of customers.
At Capital One, we're making things better for our customers and associates through innovation and collaboration.
