Distinguished AI Engineer (Agentic AI Platform)

About the role

The Intelligent Foundations and Experiences (IFX) team at Capital One is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.

Responsibilities

• 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.
• Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.
• Evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them.
• Develop an end-to-end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.
• Collaborate with cross-organization architects to drive end-to-end performance by optimizing orchestration-level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend.
• Accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.
• Own central Helm charts, operators and CRDs that auto-scale agents to hit tenant SLAs.
• Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs, and representing Capital One at Tier1 AI conferences to amplify platform vision across internal and external communities.

Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies.
• At least 8 years of experience programming with Python, Go, Scala, or Java.
• Experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
• Experience designing mission-critical machine learning platforms.
• Experience developing complex AI systems.
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level.
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
• Experience with K8s (multi-region clusters, service mesh).
• Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies.
• At least 8 years of experience programming with Python, Go, Scala, or Java.
• Master's degree in Computer Science, Computer Engineering, or relevant technical field.
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
• Experience leading GenAI or LLM-Powered application architectures in production.
• Deep understanding of Responsible AI, data privacy and multi-tenant security patterns.
• Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders.

Skills

• Experience with agentic frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen).
• Experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
• Experience with K8s (multi-region clusters, service mesh).
• Experience with state-of-the-art techniques for optimizing training and inference software.
• Experience with Responsible AI, data privacy and multi-tenant security patterns.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Pay

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Schedule

This role is remote-eligible.