Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Capital One currently has 305 active AI-related roles in our index. The most common open titles are: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (9), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (8), Applied Researcher I (6), Distinguished Engineer (6), Applied Researcher II (5). Most positions are in Engineering and Research.
Capital One's active AI hiring is concentrated in: serving infrastructure (28%), agents (27%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).
Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.
In the past 30 days, Capital One has posted 96 new AI-related roles. That is a -26% change versus the prior 30 days (130 → 96).
| Title | Stage | AI score |
|---|---|---|
| Senior Lead AI Engineer (Gen AI Platform Services) Senior Lead AI Engineer role focused on building and scaling Gen AI Platform Services, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves optimizing AI systems for performance, cost, and latency, and contributing to the technical vision for foundational AI systems at Capital One. | ServeAgent | 8 |
| Senior Lead AI Engineer Senior Lead AI Engineer responsible for designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves optimizing LLM performance for scalability, cost, latency, and throughput, and contributing to the technical vision and roadmap of foundational AI systems. The role leverages various AI technologies and requires strong engineering and mathematical foundations. |
| ServeAgent |
| 8 |
| Lead AI Engineer Lead AI Engineer role focused on designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves optimizing LLM performance for scalability, cost, latency, and throughput, and contributing to the technical vision and roadmap of foundational AI systems. It requires experience with AI/ML algorithms, programming languages like Python, and cloud platforms, with a focus on deploying scalable and responsible AI solutions. | ServeAgent | 8 |
| Principal Associate, Data Scientist - LLM Customization Team Capital One is seeking a Principal Associate Data Scientist to join their LLM Customization Team. This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch, Hugging Face, LangChain, and VectorDBs. The primary focus is on adapting and fine-tuning LLMs for business-specific applications, building NLP models through all phases of development, and operationalizing them in production systems. | Post-trainServe | 8 |
| Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services) Senior Manager, AI Engineering (People Leader) for Gen AI Platform Services at Capital One. This role involves overseeing the design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The candidate will make build-vs-buy decisions, optimize LLM performance (scalability, cost, latency, throughput), contribute to the technical vision and roadmap of foundational AI systems, and lead/mentor an AI engineering team. Experience with cloud platforms and deploying scalable AI solutions is required. | ServePost-train | 8 |
| Sr. Distinguished AI Engineer This role focuses on designing, developing, testing, deploying, and supporting AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will invent and introduce LLM optimization techniques to improve the performance (scalability, cost, latency, throughput) of large-scale production AI systems, leveraging technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. The role involves contributing to the technical vision and roadmap of foundational AI systems. | ServeAgent | 8 |
| Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems at Capital One. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. It requires leveraging a broad stack of AI technologies and optimizing LLM performance for scalability, cost, and latency. | ServeAgent | 8 |
| Distinguished AI Engineer This role focuses on architecting and launching conversational AI experiences for millions of customers, involving foundation model training, LLM inference, and optimization of AI systems. It requires partnering with cross-functional teams to deliver AI-powered products and leveraging a broad stack of AI technologies. | AgentServe | 8 |
| Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Lead AI Engineer role focused on building and deploying AI-powered products, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves leveraging AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails, and optimizing LLM performance for scalability, cost, and latency. The position requires a strong engineering foundation and experience in AI/ML algorithm development and deployment on cloud platforms. | AgentServe | 8 |
| Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Senior Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems, including LLM inference, optimization, and agentic AI platforms. The role involves designing, developing, testing, deploying, and supporting AI software components, leveraging various AI technologies, and contributing to the technical vision and roadmap. | ServeAgent | 8 |
| Sr. Lead AI Engineer (Gen AI Platform Services) This role focuses on engineering AI-powered products and platforms, specifically within Generative AI. Responsibilities include designing, developing, and supporting AI software components like foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role also involves optimizing LLM performance for scalability, cost, latency, and throughput, leveraging various AI technologies and cloud platforms. | ServeAgent | 8 |
| Sr. Distinguished Machine Learning Engineer (Remote-Eligible) This role focuses on building and scaling the intelligence and infrastructure for real-time, personalized customer experiences using ML and GenAI systems. It involves defining technical strategy, partnering with data science and ML platform teams, developing a rules engine, building ML infrastructure for end-to-end workflows, architecting low-latency event-driven systems, driving MLOps, and optimizing LLM performance for production AI systems. The role also involves providing technical leadership and leveraging various AI technologies. | AgentServe | 8 |
| Lead AI Engineer (AI Foundations) Lead AI Engineer focused on AI Foundations, responsible for designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, governance, and observability. The role involves optimizing large-scale production AI systems for performance (scalability, cost, latency, throughput) using various AI technologies and contributing to the technical vision and roadmap of foundational AI systems. | ServeAgent | 8 |
| Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Senior Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems at Capital One. Responsibilities include designing, developing, testing, deploying, and supporting AI software components like foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves leveraging AI technologies and optimizing LLM performance for scalability, cost, and latency. | ServeAgent | 8 |
| Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Senior Lead AI Engineer role focused on building and scaling Gen AI platform services, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves optimizing performance (scalability, cost, latency, throughput) of large-scale production AI systems and contributing to the technical vision for foundational AI systems. Requires strong engineering and AI expertise, with experience in cloud platforms and programming languages like Python. | ServeAgent | 8 |
| Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems, including LLM inference, similarity search, guardrails, and model evaluation, with an emphasis on optimizing performance and scalability for enterprise use. | ServeAgent | 8 |
| Senior Lead AI Engineer (FM Hosting, LLM Inference) Senior Lead AI Engineer focused on LLM inference and hosting infrastructure, optimizing performance, scalability, cost, and latency for large-scale production AI systems. The role involves designing, developing, and deploying AI software components, including foundation model training, inference, similarity search, guardrails, evaluation, governance, and observability, leveraging various AI technologies and cloud platforms. | ServeAgent | 8 |
| Sr. Lead AI Engineer (AI Foundations) This role focuses on engineering AI foundations, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, and optimization techniques for scalability, cost, latency, and throughput. It involves leveraging AI technologies and contributing to the technical vision and roadmap of foundational AI systems. | ServeAgent | 8 |
| Lead AI Engineer (AI Foundations) Lead AI Engineer focused on building and optimizing foundational AI systems, including LLM inference, similarity search, guardrails, and model evaluation, to enhance customer and associate experiences within a large enterprise. | ServeAgent | 8 |
| Director, Data Scientist - Generative AI Systems Capital One is seeking a Director, Data Scientist to lead the Generative AI Systems team. This role involves building and operationalizing AI-powered products, specifically focusing on LLMs for customer-facing applications in dialogue, summarization, comprehension, speech, and image processing. The position requires leading a team of specialists, experimenting with generative AI, and contributing to research. The role emphasizes partnering with cross-functional teams, leveraging technologies like PyTorch, AWS, Hugging Face, LangChain, and VectorDBs, and managing the full ML lifecycle from design to production for over 80 million customers. | AgentPost-train | 8 |
| Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Lead AI Engineer role focused on building and deploying AI-powered products, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves leveraging AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails, and optimizing LLM performance for scalability, cost, and latency. The position requires a strong engineering foundation and experience in AI/ML algorithm development and deployment on cloud platforms. | AgentServe | 8 |
| Distinguished AI Engineer This role focuses on engineering and deploying AI-powered products and foundational AI systems, including large language model inference, optimization, and related components like similarity search and guardrails. The primary focus is on the serving and optimization of AI models in production, with a secondary involvement in agentic systems. | ServeAgent | 8 |
| Senior Distinguished AI Engineer Senior Distinguished AI Engineer role focused on designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves inventing and introducing state-of-the-art LLM optimization techniques to improve performance (scalability, cost, latency, throughput) of large-scale production AI systems, and contributing to the technical vision and roadmap of foundational AI systems. Requires strong engineering and mathematics foundation, expertise in hardware, software, and AI, and experience with cloud platforms and programming languages like Python, Go, Scala, or Java. | ServeAgent | 8 |
| Lead AI Engineer (MLX) Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems. Responsibilities include designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves optimizing LLM performance for scalability, cost, latency, and throughput using various AI technologies and cloud platforms. | ServeAgent | 8 |
| Lead AI Engineer Lead AI Engineer role focused on designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves leveraging AI technologies, inventing LLM optimization techniques to improve performance (scalability, cost, latency, throughput) of large-scale production AI systems, and contributing to the technical vision and roadmap of foundational AI systems. Requires strong engineering and mathematics foundation, expertise in hardware, software, and AI, and experience with cloud platforms and AI/ML algorithms. | ServeAgent | 8 |
| Senior Lead AI Engineer Senior Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems within an enterprise setting. Responsibilities include designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, and observability. The role emphasizes optimizing LLM performance for scalability, cost, latency, and throughput, and contributing to the technical vision and roadmap of foundational AI systems. | ServeAgent | 8 |
| Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Lead AI Engineer role focused on building and scaling Gen AI platforms, agentic AI systems, and LLM infrastructure. The role involves designing, developing, and deploying AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, and observability. It emphasizes optimizing LLM performance for scalability, cost, latency, and throughput, and leveraging a broad stack of AI technologies. | AgentServe | 8 |
| Senior Lead AI Engineer Senior Lead AI Engineer role focused on designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves inventing and introducing state-of-the-art LLM optimization techniques to improve the performance of large-scale production AI systems, leveraging technologies like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails. This position is key to bringing AI capabilities to life at Capital One, empowering teams across the company and delivering value to millions of customers. | ServeAgent | 8 |
| Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Lead AI Engineer focused on AI Foundations, LLM Customization and Finetuning within Capital One's Intelligent Foundations and Experiences (IFX) team. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. It also emphasizes optimizing LLM performance for scalability, cost, and latency in production AI systems. | ServePost-train | 8 |
| Lead AI Engineer Lead AI Engineer role focused on designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves leveraging AI technologies and optimizing LLM performance for scalability, cost, latency, and throughput in production AI systems within an enterprise setting. | ServeAgent | 8 |
| Lead AI Engineer Lead AI Engineer role focused on building and deploying AI-powered products and foundational AI systems within a fintech company. Responsibilities include designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, and observability. The role emphasizes optimizing LLM performance (scalability, cost, latency, throughput) and contributing to the technical vision and roadmap for AI systems. Requires experience with AI/ML algorithms, programming languages like Python, and cloud platforms, with a focus on deploying scalable and responsible AI solutions. | ServeAgent | 8 |
| Distinguished AI Engineer (Agentic AI Platform) The role is for a Distinguished AI Engineer focused on building an enterprise Generative AI Platform. The engineer will design the agentic workflow framework, shared services (memory, guardrails, vector search, SDKs), and blueprints to enable product teams to compose AI capabilities. Key responsibilities include evaluating agentic frameworks, developing an end-to-end GenAI SDK/CLI, implementing central guardrail services, optimizing orchestration for performance, and mentoring other engineers. The role emphasizes creating scalable, safe, and explainable AI solutions for millions of users. | AgentServe | 8 |
| Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Senior Lead AI Engineer focused on AI Foundations, LLM Core, and Agentic AI. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. It also focuses on optimizing LLM performance (scalability, cost, latency, throughput) for production AI systems and contributing to the technical vision and roadmap of foundational AI systems. | AgentServe | 8 |
| Senior Lead AI Engineer (Gen AI Platform Services) This role focuses on engineering and optimizing AI software components, particularly large language model inference and related platform services, to improve performance, scalability, cost, and latency in a production environment. It involves designing, developing, testing, deploying, and supporting these components, leveraging various AI technologies and cloud platforms. | ServeAgent | 8 |
| Senior Manager AI Engineer (GenAI Platform Services) Senior Manager AI Engineer role focused on building and deploying GenAI Platform Services. Responsibilities include overseeing AI software components like foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves making build-vs-buy decisions, optimizing LLM performance, and contributing to the technical vision of foundational AI systems. Requires people leadership and experience in deploying scalable AI solutions on cloud platforms. | ServeAgent | 8 |
| Senior Lead AI Engineer (GenAI Platform Services) Senior Lead AI Engineer responsible for designing, developing, testing, deploying, and supporting AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The role involves optimizing LLM performance for scalability, cost, and latency, and contributing to the technical vision and roadmap of foundational AI systems. | ServeAgent | 8 |
| Senior Lead AI Engineer (FM Hosting) This role focuses on designing, developing, testing, deploying, and supporting AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large-scale production AI systems and contribute to the technical vision and roadmap of foundational AI systems. The role involves leveraging various AI technologies and optimizing for scalability, cost, latency, and throughput. | ServeAgent | 8 |
| Sr Distinguished Engineer Capital One is seeking a Sr. Distinguished Engineer to lead the development and scaling of agentic AI systems for business card marketing, underwriting, and sales. The role involves defining technical strategy, hands-on prototyping, and influencing enterprise architecture to create hyper-personalized marketing systems, assistive technologies, and autonomous sales agents. | Agent | 8 |
| Distinguished Engineer Distinguished Engineer role focused on building and scaling agentic AI systems for marketing and sales within an enterprise context. Responsibilities include prototyping, defining technical strategy, influencing architecture, and mentoring teams, with a focus on real-time, hyper-personalized customer engagement and assistive technologies for sales teams. | Agent | 8 |
| Lead AI Engineer (FM Hosting, LLM Inference) Lead AI Engineer focused on LLM inference and optimization for AI-powered products within a large enterprise. The role involves designing, developing, and deploying AI software components, with a strong emphasis on improving the performance, scalability, cost, and latency of production AI systems. | ServeAgent | 8 |
| Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Senior Lead AI Engineer role focused on building and deploying Gen AI platform services, including agentic AI systems. Responsibilities span foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability, leveraging technologies like AWS, Huggingface, VectorDBs, and Nemo Guardrails. The role emphasizes optimizing large-scale production AI systems for performance, cost, and latency, and contributing to the technical vision and roadmap for foundational AI systems. | AgentServe | 8 |
| Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Senior Lead AI Engineer focused on AI Foundations, LLM Core, and Agentic AI. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, governance, and observability. It also requires inventing and introducing LLM optimization techniques to improve performance (scalability, cost, latency, throughput) of large-scale production AI systems. The role leverages AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. | ServeAgent | 8 |
| Sr. Lead AI Engineer This role focuses on designing, developing, testing, deploying, and supporting AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will also invent and introduce LLM optimization techniques to improve the performance (scalability, cost, latency, throughput) of large-scale production AI systems, leveraging technologies like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails. The role is within the Intelligent Foundations and Experiences (IFX) team, aiming to advance AI science and engineering and deploy proprietary solutions. | ServeAgent | 8 |
| Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Lead AI Engineer role focused on building and deploying AI-powered products, including foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves leveraging AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails, and optimizing LLM performance for scalability, cost, and latency. The position requires a strong engineering foundation and experience in AI/ML algorithm development and deployment on cloud platforms. | AgentServe | 8 |
| Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Senior Lead AI Engineer role focused on AI Foundations, LLM Core, and Agentic AI. Responsibilities include designing, developing, testing, deploying, and supporting AI software components like foundation model training, LLM inference, similarity search, guardrails, model evaluation, and governance. The role involves optimizing LLM performance for scalability, cost, and latency, and contributing to the technical vision for foundational AI systems. It requires experience with cloud platforms and AI/ML algorithms, particularly LLM inference, similarity search, vector databases, and guardrails. | ServeAgent | 8 |
| Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Lead AI Engineer focused on AI Foundations, LLM Core, and Agentic AI. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. Key responsibilities include optimizing LLM performance for scalability, cost, latency, and throughput using various AI technologies and techniques. | ServeAgent | 8 |
| Senior Lead AI Engineer (LLM Customization and Finetuning) Senior Lead AI Engineer focused on LLM customization and finetuning within Capital One's Intelligent Foundations and Experiences (IFX) team. The role involves designing, developing, testing, deploying, and supporting AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. It requires leveraging AI technologies like Huggingface, VectorDBs, and PyTorch, and optimizing LLM performance for scalability, cost, latency, and throughput in production AI systems. The candidate should have a strong engineering and mathematics foundation, experience with cloud platforms, and the ability to lead and mentor teams. | Post-trainServe | 8 |
| Senior Lead AI Engineer (FM Hosting, LLM Inference) Senior Lead AI Engineer focused on optimizing LLM inference performance, scalability, cost, and latency for production AI systems within Capital One's Intelligent Foundations and Experiences (IFX) team. The role involves designing, developing, and deploying AI software components, including foundation model training, inference, similarity search, guardrails, evaluation, and observability, leveraging cloud platforms and open-source AI technologies. | ServeAgent | 8 |
| Lead AI Engineer (FM Hosting, LLM Inference) Lead AI Engineer focused on optimizing LLM inference for scalability, cost, and latency within an enterprise AI setting. The role involves designing, developing, and deploying AI software components, including foundation model training, inference services, similarity search, guardrails, and model evaluation, leveraging cloud platforms and various AI technologies. | ServeAgent | 8 |
| Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Senior Lead AI Engineer role focused on AI Foundations, LLM Core, and Agentic AI. Responsibilities include designing, developing, testing, deploying, and supporting AI software components such as foundation model training, LLM inference, similarity search, guardrails, model evaluation, and agentic systems. The role involves optimizing LLM performance for scalability, cost, and latency, and contributing to the technical vision and roadmap for foundational AI systems. Requires strong engineering and mathematics foundation, expertise in Python/Go/Scala/Java, and experience with cloud platforms and AI technologies like Huggingface, VectorDBs, and PyTorch. | AgentServe | 8 |