AI Engineer 4 (LLM Gateway, FM Hosting)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life.

What You'll Do:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our 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, 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.
• 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 the 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:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems.
• You are deeply Technical.
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

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.
• Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang.

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