AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)

We are seeking an AI Engineer 4 to join our Intelligent Foundations and Experiences (IFX) team at Capital One. The successful candidate will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. Responsibilities Partner with a cross-functional team to deliver AI-powered products that change how associates work and customers interact with Capital One. Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, and multi-agent workflows. 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 of large-scale production AI systems. Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment. Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift. Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines. Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met. Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation. The Ideal Candidate Loves building systems, takes pride in work quality, and shares our passion for doing the right thing. Stays abreast of the latest research and can intuitively understand scientific publications. Adapts quickly, thrives on bringing clarity to big problems, and loves asking questions. Deeply technical, with a strong foundation in engineering and mathematics. Resilient trailblazer who can forge new paths to achieve business goals. Basic Qualifications Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies. At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java. Preferred Qualifications Experience leading development AI systems with tradeoff decisions around cost, latency, throughput, and accuracy. 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms. Experience designing, developing, delivering, and supporting AI services. Salary Information The minimum and maximum full-time annual salaries for this role are: Cambridge, MA: $197,300 - $225,100 McLean, VA: $197,300 - $225,100 New York, NY: $215,200 - $245,600 San Jose, CA: $215,200 - $245,600 Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Job Data by YubHub .