AS
AI Engineer
- Salary
- $229.9K–$262.4K
- Moves you to
- Saudi Arabia, United States
- Support
- Visa sponsorship
- Posted
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About The Company
Capital One is a technology-focused financial services company using data, machine learning, and artificial intelligence to create simpler, more personalized banking experiences. For years, the company has applied machine learning to help customers manage their finances, identify unusual activity, and get answers in real time. Capital One continues to invest in advanced technology, responsible AI, and highly skilled teams to build reliable products and scalable infrastructure that serve customers and businesses.
The Intelligent Foundations and Experiences (IFX) team works across Capital One to advance AI research and engineering. It develops and deploys proprietary models and platforms that help teams deliver useful, responsible AI capabilities to customers and associates.
About The Role
Capital One is seeking an AI Engineer 5 to shape foundational AI systems, large language model (LLM) capabilities, and agentic AI solutions. In this senior technical role, you will work with engineers, research scientists, product managers, and technical program managers to build AI-powered products and infrastructure. You will help guide technical strategy while designing systems that perform reliably at scale and balance quality, latency, throughput, and cost.
You will apply current research to production challenges, contribute to long-term roadmaps, and help establish engineering practices for responsible and effective AI deployment. This role may be based in Cambridge, Massachusetts; McLean, Virginia; New York, New York; or San Jose, California.
Qualifications
Basic qualifications include a bachelor’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field and at least six years of experience developing AI or machine-learning algorithms or technologies; or a relevant master’s degree and at least four years of that experience. Candidates must also have at least six years of programming experience with Python, Go, Scala, CUDA, or Java.
Preferred qualifications include experience delivering complex AI systems on cloud platforms, such as AWS, Google Cloud, or Azure; developing LLM inference, vector search, guardrails, memory, or agentic workflows; and optimizing training or inference for hardware utilization, latency, throughput, and cost. Experience integrating retrieval-based, rule-based, and generative components; right-sizing models and hardware; and defining responsible AI practices is valuable. Strong communication skills and the ability to assess research for practical production use are also preferred.
Responsibilities
Design, develop, test, deploy, and support foundational AI software, including model training and inference, agents and multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability. Build and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models. Apply open-source and cloud technologies, including PyTorch, Hugging Face, vector databases, and AWS infrastructure, to create secure, scalable solutions.
Develop optimization approaches that improve production performance, including cost, latency, throughput, and scalability. Track GPU utilization, model throughput, and inference efficiency through cost-performance reviews. Contribute to technical roadmaps, lead design reviews, and promote consistent engineering standards. Partner across disciplines, communicate complex concepts clearly, and mentor experienced engineers to strengthen technical capability across the organization.
Benefits
The full-time annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York and San Jose. Pay for other locations depends on the applicable location range. The role may also be eligible for performance-based incentives, including cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and level. The company will consider sponsorship for qualified applicants seeking new employment authorization.
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 maintains a drug-free workplace and considers qualified applicants with criminal histories consistent with applicable requirements. Reasonable accommodations are available during the application process. This role is expected to accept applications for at least five business days. No agencies, please.
Capital One is a technology-focused financial services company using data, machine learning, and artificial intelligence to create simpler, more personalized banking experiences. For years, the company has applied machine learning to help customers manage their finances, identify unusual activity, and get answers in real time. Capital One continues to invest in advanced technology, responsible AI, and highly skilled teams to build reliable products and scalable infrastructure that serve customers and businesses.
The Intelligent Foundations and Experiences (IFX) team works across Capital One to advance AI research and engineering. It develops and deploys proprietary models and platforms that help teams deliver useful, responsible AI capabilities to customers and associates.
About The Role
Capital One is seeking an AI Engineer 5 to shape foundational AI systems, large language model (LLM) capabilities, and agentic AI solutions. In this senior technical role, you will work with engineers, research scientists, product managers, and technical program managers to build AI-powered products and infrastructure. You will help guide technical strategy while designing systems that perform reliably at scale and balance quality, latency, throughput, and cost.
You will apply current research to production challenges, contribute to long-term roadmaps, and help establish engineering practices for responsible and effective AI deployment. This role may be based in Cambridge, Massachusetts; McLean, Virginia; New York, New York; or San Jose, California.
Qualifications
Basic qualifications include a bachelor’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field and at least six years of experience developing AI or machine-learning algorithms or technologies; or a relevant master’s degree and at least four years of that experience. Candidates must also have at least six years of programming experience with Python, Go, Scala, CUDA, or Java.
Preferred qualifications include experience delivering complex AI systems on cloud platforms, such as AWS, Google Cloud, or Azure; developing LLM inference, vector search, guardrails, memory, or agentic workflows; and optimizing training or inference for hardware utilization, latency, throughput, and cost. Experience integrating retrieval-based, rule-based, and generative components; right-sizing models and hardware; and defining responsible AI practices is valuable. Strong communication skills and the ability to assess research for practical production use are also preferred.
Responsibilities
Design, develop, test, deploy, and support foundational AI software, including model training and inference, agents and multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability. Build and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models. Apply open-source and cloud technologies, including PyTorch, Hugging Face, vector databases, and AWS infrastructure, to create secure, scalable solutions.
Develop optimization approaches that improve production performance, including cost, latency, throughput, and scalability. Track GPU utilization, model throughput, and inference efficiency through cost-performance reviews. Contribute to technical roadmaps, lead design reviews, and promote consistent engineering standards. Partner across disciplines, communicate complex concepts clearly, and mentor experienced engineers to strengthen technical capability across the organization.
Benefits
The full-time annual salary ranges are $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York and San Jose. Pay for other locations depends on the applicable location range. The role may also be eligible for performance-based incentives, including cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and level. The company will consider sponsorship for qualified applicants seeking new employment authorization.
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 maintains a drug-free workplace and considers qualified applicants with criminal histories consistent with applicable requirements. Reasonable accommodations are available during the application process. This role is expected to accept applications for at least five business days. No agencies, please.
