Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Senior Distinguished AI Engineer – Agentic AI Platform (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world‑class talent—along with our deep experience in machine learning—position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML bring humanity and simplicity to banking. We are committed to continuing to build world‑class applied science and engineering teams to deliver our industry‑leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure.

Team Description

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. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will

• 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 (LangGraph, AutoGen, Semantic Kernel, CrewAI, LlamaIndex) and harden/blend patterns that best meet enterprise SLAs so that 90% of new applications 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%.
• Help build 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.
• 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, and multimodal RAG.
• Own central Helm charts, operators, and CRDs that autoscale 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 Tier‑1 AI conferences—to amplify platform vision across internal and external communities.

The Ideal Candidate

• Love building systems, take pride in the quality of your work, and share our passion to do the right thing. Want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• Adapt quickly and thrive on bringing clarity to big, undefined problems. Ask questions, dig deep to uncover the root of problems, and articulate findings concisely and clearly. Share new ideas even when unproven.
• Deeply technical—strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that allows you to see and exploit optimization opportunities that others miss.
• Resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Basic 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.

Preferred Qualifications

• 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
• 2+ years of experience supporting agentic frameworks (LangChain, CrewAI, Semantic Kernel, 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 (LLM inference, similarity search, vector‑DBs, guardrails, memory) using Python, C++, C#, Java, or Golang.
• Master’s degree in Computer Science, Computer Engineering, or a relevant technical field.
• Experience developing and applying state‑of‑the‑art techniques to optimize training and inference software to improve hardware utilization, latency, throughput, and cost.
• Excellent communication and presentation skills.
• Experience leading GenAI or LLM‑powered application architectures in production.
• Deep understanding of responsible AI, data privacy, and multi‑tenant security patterns.
• Kubernetes mastery (multi‑region clusters, service mesh).
• Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production.

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

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries.