AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

Capital One; San Jose (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is hiring an AI Engineer 4 to build responsible and scalable AI systems within the IFX team. You’ll partner with engineers, researchers, and PMs to bring AI-powered products into production, focusing on foundation models, agents, and high-performance inference.

The role emphasizes governance, observability, and ethical alignment while leveraging Open Source and SaaS AI tools across AWS and other platforms. Strong programming and AI system design are essential.

Qualifications

• Bachelor's or Master's in CS/AI/EE/CE or related fields with relevant experience.
• At least 4 years of experience developing AI/ML algorithms or technologies.
• 4+ years programming experience in Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products used by Capital One associates and customers.
• Design, develop, test, deploy, and support AI software components (foundation model training, LLM inference, agents, vector search, guardrails, governance, observability).
• Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, HuggingFace, PyTorch, VectorDBs).
• Develop state-of-the-art optimization techniques to improve performance, cost, latency, and throughput of large-scale AI systems.
• Contribute to long-term technical vision and roadmap for foundational AI systems at Capital One.
• Own end-to-end architecture for complex AI systems with maintainability and ethical alignment.
• Define and maintain SLIs for AI reliability (latency, uptime, model drift).
• Collaborate with infra engineering to optimize GPU/TPU utilization and accelerate inference pipelines.
• Lead cross-functional reviews for new AI deployments focusing on security and governance.
• Mentor senior engineers on scalable design and production translation.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE or related fields

Master's degree in CS/AI/EE/CE or related fields

Tools

AWS

HuggingFace

PyTorch

VectorDBs

Job description

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

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 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.

What You’ll Do

• 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.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state‑of‑the‑art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
• Own the end‑to‑end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment.
• Define and maintain service‑level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
• Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.
• Mentor Principal and Senior Associates on scalable design, performance tuning and research‑to‑production translation.

The Ideal Candidate

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
• You 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.
• You adapt quickly and thrive on bringing clarity to big, undefined problems.
• You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
• You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.

Preferred Qualifications

• Experience leading development of AI systems with trade‑off decisions around cost, latency, throughput and accuracy.
• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience designing, developing, delivering, and supporting AI services.
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
• Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Experience in building agentic AI systems and agentic workflows.
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
• Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules.
• Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

Visa Sponsorship

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

Location and Salary

The minimum and maximum full‑time annual salaries for this role are listed below, by location.

• McLean, VA: $197,300 - $225,100 for AI Engineer 4
• Cambridge, MA: $197,300 - $225,100 for AI Engineer 4
• New York, NY: $215,200 - $245,600 for AI Engineer 4
• San Francisco, CA: $215,200 - $245,600 for AI Engineer 4
• San Jose, CA: $215,200 - $245,600 for AI Engineer 4

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website.

Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Equal Opportunity

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 NewYork Correction Law; SanFrancisco, California Police Code Article49, 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.

About the Company

At Capital One, we’re building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.