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 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 who have come to love the products and services we build.

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 A I 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.

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.
• Standardize and automate agentic workflows: evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI and LlamaIndex, and harden/blend patterns that best meet enterprise SLAs so that 90% of new applications 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: build guardrail services—prompt firewalls, content‑filter hooks, red‑team harnesses and audit APIs—consumed by every application to prevent 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, multimodal RAG.
• Own central Helm charts, operators and CRDs that auto‑scale agents to hit tenant SLAs.
• Coach and evangelize—host architecture office hours, mentor Staff, Principal and Senior engineers, author technical design documents and blogs, and represent Capital One at Tier1 AI conferences—to amplify platform vision across internal and external communities.

Ideal Candidate

• Love building systems, take pride in the quality of your work, and share a passion for doing 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. Love asking questions, digging deep to uncover root causes, and articulating findings concisely.
• Deep technical foundation: strong engineering and mathematics background, expertise in hardware, software, and AI enabling exploitation of 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, or equivalent private cloud).
• 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 (e.g., LLM inference, similarity search and vector‑DBs, 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.

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

No agencies please. 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 the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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