AI Engineer

AgileGrid Solutions; United States; On-site; USD 197,000 - 246,000; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive benefits package

Job summary

Capital One is seeking an AI Engineer 4 to design and deliver foundational AI systems, with a focus on ML infrastructure, agentic AI, generative AI workflows, and GraphRAG. You will work with software engineers, researchers, product managers, and technical program managers to translate research into dependable production capabilities.

You will build across the AI lifecycle, including training and inference, agent workflows, similarity search, evaluation, guardrails, governance, experimentation,

Qualifications

• Bachelor's degree or higher with 4+ years in AI/ML development.
• Proficient in Python, Go, Scala, CUDA, or Java.
• Experience with distributed systems and cloud AI platforms.

Responsibilities

• Design and deliver AI systems across training, inference, and retrieval workflows.
• Lead architecture decisions and mentor teams.
• Ensure security, observability, and governance of AI services.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science or related field

Master's degree plus 2+ years experience

Tools

PyTorch

Hugging Face

Vector databases

Cloud-based AI infrastructure

Job description

AI Engineer 4 (MLX, Agentic AI, Generative AI Workflows, GraphRAG)

About The Company

At Capital One, we are building responsible, reliable AI systems to help change banking for good. Our long-standing investment in machine learning, technology infrastructure, and exceptional talent has helped us create real-time, personalized customer experiences. From identifying unusual charges to answering questions in the moment, our AI and machine learning capabilities bring simplicity and humanity to banking. We continue to develop high-performance AI infrastructure and breakthrough products that serve customers and associates at scale.

The Intelligent Foundations and Experiences (IFX) team turns this vision into reality. In partnership with teams across Capital One, IFX advances AI science and engineering and builds proprietary solutions that enable responsible, scalable AI experiences for millions of customers.

About The Role

As an AI Engineer 4, you will design and deliver foundational AI systems and products, with a focus on machine learning infrastructure, agentic AI, generative AI workflows, and GraphRAG. You will work alongside software engineers, research scientists, product managers, and technical program managers to translate emerging research into dependable production capabilities. This role combines hands-on engineering with technical leadership: you will shape architecture, guide optimization decisions, and contribute to the long-term direction of Capital One's AI platforms.

You will build across the AI lifecycle, including model training and inference, agent and multi-agent workflows, similarity search, evaluation, guardrails, governance, experimentation, and observability. Your work will help teams deliver secure, maintainable systems while balancing accuracy, latency, throughput, scalability, and cost.

Qualifications

Basic qualifications:

• A bachelor's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field, plus at least four years of experience developing AI or machine learning algorithms or technologies; or a relevant master's degree plus at least two years of that experience. At least four years of programming experience in Python, Go, Scala, CUDA, or Java is also required.

Preferred qualifications:

• Six or more years deploying scalable, responsible AI solutions on cloud or private-cloud platforms.
• Experience designing, delivering, and supporting AI services.
• Practical knowledge of LLM inference, vector databases, similarity search, memory, guardrails, and agentic workflows.
• Experience optimizing training and inference for hardware utilization, latency, throughput, and cost.
• Expertise in distributed systems for large-scale model training, evaluation, and online inference.
• AI governance, lineage, and retraining processes.
• Influencing architecture across multiple products or platforms.
• A passion for AI research and the judgment to apply appropriate techniques in production.

Responsibilities

Partner with cross-functional teams to build AI-powered products for customers and associates. Design, develop, test, deploy, and support AI software components across model training, inference, agents, GraphRAG and retrieval workflows, evaluation, experimentation, governance, and monitoring. Use open-source and commercial technologies such as PyTorch, Hugging Face, vector databases, and cloud-based AI infrastructure.

Own architecture for complex AI systems, prioritizing security, maintainability, observability, responsible use, and compliance. Develop optimization approaches that improve production performance and GPU or TPU utilization. Define and maintain service-level objectives for reliability, latency, uptime, and model-performance drift. Lead technical reviews for deployments, contribute to platform strategy and roadmaps, and mentor colleagues in scalable design, performance tuning, and moving research into production.

Benefits

This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives, subject to the applicable plan.

Capital One offers a competitive benefits package supporting health, financial security, and overall well-being. Eligibility depends on employment status and level. The company will consider sponsoring qualified applicants for employment authorization.

The posted annual salary ranges are $197,300-$225,100 in McLean, Virginia, and Cambridge, Massachusetts, and $215,200-$245,600 in New York, New York; San Francisco, California; and San Jose, California. Pay for other locations may differ, and the offer letter will state the applicable amount.

Equal Opportunity

Capital One is an equal opportunity employer committed to non-discrimination in accordance with applicable laws, including protections for individuals with disabilities and veterans. The company promotes a drug-free workplace and considers qualified applicants with criminal histories as required by applicable law. Reasonable accommodations are available for applicants who need them during the recruiting process.

This role is expected to accept applications for at least five business days. No agencies, please.