Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)
Job Overview
Employment Type
Full-time
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Retirement Plan
Performance bonus
Employee Development Programs
Job Description
Capital One is a leading financial services company dedicated to transforming the banking industry through trustworthy and reliable artificial intelligence (AI) systems. The company has pioneered the use of machine learning for creating real-time, intelligent, and automated customer experiences that enhance the simplicity and humanity of banking. Capital One’s AI applications range from alerting customers about unusual transactions to providing real-time responses to customer inquiries, epitomizing their commitment to innovation and customer-centric solutions. Capital One is focused on developing world-class applied science and engineering teams, advancing industry-leading capabilities with breakthrough products and scalable AI infrastructure designed to meet the needs of today’s evolving financial landscape.
The AI Foundations team at Capital One plays a crucial role in realizing the company’s AI vision. This team encompasses the full research lifecycle, collaborating with academia while also building high-impact production systems. Work extends across product management, technology, and business leadership to implement cutting-edge AI solutions that directly benefit customers. Within the AI Foundations team, the AI Software Engineering subgroup is focused on creating scalable, state-of-the-art AI architectures that revolutionize Capital One’s software development lifecycle. Their innovations empower internal engineers by delivering multi-agent solutions that optimize design, code generation, system migration, and troubleshooting, enhancing software operations at scale.
In the capacity of an Applied Researcher I specializing in Multi-agent Systems, Knowledge Graphs, GraphRAG, Graph-of-Thought (GoT), MCP, LangGraph, and Agent Protocols, you will be instrumental in driving Capital One’s AI advancements. You will collaborate with a diverse cross-functional team that includes data scientists, software engineers, machine learning engineers, and product managers to develop AI-powered products impacting how customers interact with their finances. Utilizing advanced technologies such as Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs, your work will uncover insights hidden within vast numeric and textual datasets.
Your responsibilities include building AI foundation models across all development phases—from initial design, training, and evaluation to validation and deployment—ensuring high-quality, scalable outputs. You will engage in sophisticated applied research, leveraging the latest AI advancements to develop the next wave of customer experiences. Your role also requires strong communication skills to translate complex technical concepts into clear business insights, influencing decision-making processes within Capital One.
Ideal candidates embody a passion for innovation, creativity, leadership, and technical expertise. They actively seek new knowledge, challenge conventions, and foster talent development. Candidates must show a strong foundation in AI methodologies, experience with large deep learning models across languages, images, events, or graphs, and proficiency in training optimization, self-supervised learning, robustness, explainability, and reinforcement learning with human feedback (RLHF). Demonstrable engineering experience with scalable model development and deployment, as well as a track record of delivering libraries or platform-level code for existing products, are essential.
Capital One offers competitive full-time salaries varying by location, from approximately $218,700 to $272,300 annually for the Applied Researcher I role, along with performance-based incentives including cash bonuses and long-term incentives. The company supports a diverse and inclusive workplace and provides comprehensive benefits aimed at fostering employee well-being. Capital One also offers sponsorship opportunities for qualified candidates requiring employment authorization. As an Equal Opportunity Employer, Capital One prioritizes non-discrimination and compliance with applicable laws and regulations, inviting candidates of all backgrounds to apply. This role is an opportunity to contribute to a transformative area of AI within financial services, working with one of the most innovative tech-driven organizations in the industry.
The AI Foundations team at Capital One plays a crucial role in realizing the company’s AI vision. This team encompasses the full research lifecycle, collaborating with academia while also building high-impact production systems. Work extends across product management, technology, and business leadership to implement cutting-edge AI solutions that directly benefit customers. Within the AI Foundations team, the AI Software Engineering subgroup is focused on creating scalable, state-of-the-art AI architectures that revolutionize Capital One’s software development lifecycle. Their innovations empower internal engineers by delivering multi-agent solutions that optimize design, code generation, system migration, and troubleshooting, enhancing software operations at scale.
In the capacity of an Applied Researcher I specializing in Multi-agent Systems, Knowledge Graphs, GraphRAG, Graph-of-Thought (GoT), MCP, LangGraph, and Agent Protocols, you will be instrumental in driving Capital One’s AI advancements. You will collaborate with a diverse cross-functional team that includes data scientists, software engineers, machine learning engineers, and product managers to develop AI-powered products impacting how customers interact with their finances. Utilizing advanced technologies such as Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs, your work will uncover insights hidden within vast numeric and textual datasets.
Your responsibilities include building AI foundation models across all development phases—from initial design, training, and evaluation to validation and deployment—ensuring high-quality, scalable outputs. You will engage in sophisticated applied research, leveraging the latest AI advancements to develop the next wave of customer experiences. Your role also requires strong communication skills to translate complex technical concepts into clear business insights, influencing decision-making processes within Capital One.
Ideal candidates embody a passion for innovation, creativity, leadership, and technical expertise. They actively seek new knowledge, challenge conventions, and foster talent development. Candidates must show a strong foundation in AI methodologies, experience with large deep learning models across languages, images, events, or graphs, and proficiency in training optimization, self-supervised learning, robustness, explainability, and reinforcement learning with human feedback (RLHF). Demonstrable engineering experience with scalable model development and deployment, as well as a track record of delivering libraries or platform-level code for existing products, are essential.
Capital One offers competitive full-time salaries varying by location, from approximately $218,700 to $272,300 annually for the Applied Researcher I role, along with performance-based incentives including cash bonuses and long-term incentives. The company supports a diverse and inclusive workplace and provides comprehensive benefits aimed at fostering employee well-being. Capital One also offers sponsorship opportunities for qualified candidates requiring employment authorization. As an Equal Opportunity Employer, Capital One prioritizes non-discrimination and compliance with applicable laws and regulations, inviting candidates of all backgrounds to apply. This role is an opportunity to contribute to a transformative area of AI within financial services, working with one of the most innovative tech-driven organizations in the industry.
Job Requirements
- Currently has or is obtaining a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields or Master’s degree in related fields plus 2 years applied research experience
- hands-on experience with multi-agent systems, autonomous agents, planning or reinforcement learning
- experience developing and deploying multi-agent architectures using frameworks like LangGraph
- knowledge of tool-use integration, memory management for agents or verifiable agent behavior
- expertise in knowledge representation, reasoning, graph neural networks, and large-scale data integration
- experience designing and deploying industrial-scale knowledge graph solutions
- familiarity with graph databases such as Neo4j or JanusGraph
- demonstrated skills in finetuning large language models with supervised finetuning, instruction-tuning or dialogue-finetuning
- knowledge of transfer learning, model adaptation and model guidance principles
- experience deploying fine-tuned large language models
- strong interpersonal and communication skills
- ability to lead complex research projects independently
Job Qualifications
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields or Master’s degree plus 2 years experience in applied research
- experience building large deep learning models for language, images, events or graphs
- expertise in training optimization, self-supervised learning, robustness, explainability, or reinforcement learning with human feedback
- demonstrated engineering mindset with experience delivering models at scale
- hands-on experience with open-source AI tools and cloud platforms
- track record of publishing or contributing to significant machine learning projects
- ability to autonomously manage long-term research projects and select impactful research problems
Job Duties
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
- leverage a broad stack of technologies including Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs to analyze numeric and textual data
- build AI foundation models through all phases of development from design through training, evaluation, validation and implementation
- engage in high impact applied research to advance AI developments for next-generation customer experiences
- translate complex technical concepts into tangible business objectives to influence stakeholders
- develop multi-agent solutions that streamline software design, code generation, migration and troubleshooting
- apply advanced AI methodologies including multi-agent systems, knowledge graphs, and agent protocols
Job Criteria
Experience
Mid Level (3-7 years)
Job Location
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