Senior. Distinguished AI Engineer (Agentic AI Platform)

About the role

The Intelligent Foundations and Experiences (IFX) team 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 harden/blend patterns that best meet enterprise SLAs to ensure 90% of new apps adopt them.
• Craft 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%.
• Bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.
• Optimize orchestration-level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend.
• Drive innovation by incubating proof of concepts and 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.

Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies.
• At least 10 years of experience programming with Python, Go, Scala, or Java.
• 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen).
• 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
• 8+ years of experience designing mission-critical machine learning platforms.
• 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting 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.
• 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.
• K8s mastery (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 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies.
• At least 10 years of experience programming with Python, Go, Scala, or Java.

Skills

• Strong foundation in engineering and mathematics.
• Expertise in hardware, software, and AI.
• Ability to see and exploit optimization opportunities.
• Resilient and able to forge new paths.

Benefits

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

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Schedule

This role is remote eligible.