Distinguished AI Engineer; Agentic AI Platform

Distinguished AI Engineer (Agentic AI Platform)

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 are bringing 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. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses that have come to love the products and services we build.

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.

We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities — without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses.

• 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.
• Standardize and automate agentic workflows: evaluate agentic frameworks such as Lang Graph, Auto Gen, Semantic Kernel, CrewAI and Llama Index and then harden / blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them.
• Develop 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%.
• Ensure trust and safety: collaborate on central guardrail services—prompt firewalls, content‑filter hooks, red team harnesses and audit APIs—consumed by every application to ensure zero Sev4 incidents.
• Drive end‑to‑end performance by optimizing orchestration—level batching, retrieval caching, heuristic tuning—to achieve reductions in per‑token spend and incubate proof of concepts and drive 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.

• 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…