AI Engineer: Gen AI Platform Services - Mc Lean

Requirements:

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Masters degree in one of those 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 the development of AI systems with trade-offs across cost, latency, throughput, and accuracy
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments
• Experience designing, building, delivering, and supporting complex AI systems
• Experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
• Experience applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and agentic workflows
• Strong interest in current AI research and the ability to apply novel techniques judiciously in production
• Excellent communication and presentation skills with the ability to explain complex AI concepts to peers
• Experience architecting and integrating heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines
• Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
• Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression
• Experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs

Responsibilities:

• 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 us
• 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
• Use a broad stack of open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Develop and introduce advanced foundation model optimization methods to improve the scalability, cost, latency, and throughput of large-scale production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models into unified systems
• Lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to maintain technical consistency and alignment with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and promote cross-domain learning to strengthen technical maturity across the organization

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 our AI vision, 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 scalable, high-performance AI platforms and support a broad range of applied AI capabilities across the business. This is a full-time AI Engineer 5 role with location-based salary ranges listed for Cambridge, McLean, New York, San Francisco, and San Jose, plus eligibility for performance-based incentive compensation and a comprehensive benefits package that supports overall well-being. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

last updated 43 week of 2026