Lead and grow multiple product-focused engineering teams building and operating Global Payment Network systems. Define technical strategy and architecture standards, partner with product and business leaders, drive talent strategy and engineering practices, and ensure system resilience and scalability. Role requires extensive experience in software and enterprise architecture, cloud platforms (AWS/GCP/Azure), distributed systems, and people management; remote employment in the US is supported and visa sponsorship may be considered.

Capital One is hiring a Staff Full-stack Engineer for the Business Cards & Payments team to define long-term technical strategy, modernize monolithic systems into microservices and event-driven platforms, and apply AI/agentic capabilities. The role requires senior experience (minimum 7 years) in software engineering, solution and enterprise architecture, cloud platforms (AWS/GCP/Azure), and data architecture; remote work and visa sponsorship are available.

Lead and grow multiple product-focused software engineering teams, define long-term technical strategy and architecture standards, partner with senior leaders to align roadmaps, drive talent strategy and mentoring, and ensure resilience, scalability and delivery across cloud-based full-stack platforms (AWS/Azure/GCP). Requires extensive experience in software engineering, enterprise architecture, cloud and data architecture, and people management.

Capital One is hiring a Staff AI Engineer for the Intelligent Foundations and Experiences team to design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, agents, similarity search, guardrails, observability, and governance). The role requires strong software and systems engineering experience with AI model optimization and cloud deployment (AWS/GCP/Azure), and a minimum of 6 years' experience (6 years with a Master's degree or 8 years with a Bachelor's as described).

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences team to partner with cross-functional teams to design, implement, and operate scalable, responsible AI systems (foundation model training, LLM inference, agentic workflows, similarity search/VectorDBs, guardrails, evaluation, and observability). Requires advanced experience in AI/ML systems, cloud platforms, performance optimization, and technical leadership (basic quals: BS + 8 years experience or MS + 6 years).

Senior Director, Client Development Ad Sales responsible for leading a team of Account Managers, managing flagship enterprise merchant relationships, driving high-value ad sales, architecting custom campaigns and technical integrations (APIs, ad platforms), and leveraging transaction and audience data to optimize campaign performance and revenue. Requires extensive experience in digital ad sales, performance marketing, ad tech, and people leadership.

Capital One seeks a Senior Staff AI Engineer on the Intelligent Foundations and Experiences team to design, build, and operate foundation-model training and LLM inference systems, agentic/multi-agent workflows, similarity search/VectorDBs, model evaluation, governance and observability. Role requires deep experience with Python/Go/Scala/CUDA/Java/C++, cloud platforms (AWS/GCP/Azure), PyTorch, Hugging Face, and production AI performance and safety practices. Minimum experience: 8+ years (per qualifications). Salary ranges published (example: Remote $286,200–$326,700; up to $392,000 for some locations).

Capital One is hiring a Sr. Staff AI Engineer (remote-eligible) to lead design and delivery of foundation model training and inference, agents and multi-agent workflows, similarity search/VectorDBs, guardrails, observability, and AI governance. Role requires extensive experience (8–10+ years) in AI/ML engineering, model optimization, cloud deployment (e.g., AWS/GCP/Azure), and technical leadership.

Capital One Shopping seeks a Staff Full Stack Engineer serving as Technical Chief of Staff to maintain an org-wide view of work, unblock teams with enterprise platform/security/risk/compliance/procurement partners, drive cross-team dependency orchestration, and represent and defend architecture to enterprise partners. Requires a bachelor's degree and at least 7 years of experience in software engineering, solution and enterprise architecture, cloud computing, and data architecture. Role is remote-eligible and based in McLean, VA (salary range provided for that location).

Role owns strategy and development of consumer reward and onboarding experiences to drive adoption and retention. Requires experience with product growth, SQL-based analysis, A/B testing, cross-functional collaboration with engineering, and demonstrated interest or applied use of AI. Position is remote-eligible and Capital One will not sponsor new employment authorization for this role.

Senior Staff Full-Stack Engineer role on the Global Payment Network team at Capital One. Lead technical vision, design and implementation for distributed, high-volume, low-latency payment systems; drive modernization to microservices and event-driven platforms; mentor engineers and lead cross-divisional architecture. Requires a bachelor’s degree (or higher) and at least 9 years of relevant experience across software engineering, solution and enterprise architecture, cloud platforms (AWS/Azure/GCP), and data architecture. Salary ranges listed by location (example: Remote $286,200–$326,700; McLean, VA up to $359,300).

Lead design and delivery of AI-powered products and foundational AI platform initiatives including foundation model training, LLM inference, similarity search, guardrails, and observability. Role requires significant hands-on experience (Bachelor's +10 years or Master's +8 years) with languages such as Python, Go, Scala, CUDA, or Java and experience architecting scalable AI systems on cloud platforms; visa sponsorship may be considered.

Capital One is hiring a Staff AI Engineer (remote-eligible, US) to partner with cross-functional teams to design, develop, deploy, and optimize foundation models and production AI systems (LLM inference, agents, VectorDBs, model routing/orchestration, observability, and governance). Requires advanced experience in AI/ML system design, cloud deployment (AWS/GCP/Azure), and programming (Python, Go, Scala, Java, C++, CUDA). Minimum experience: Bachelor's + 8 years or Master's + 6 years (posting supports a 6-year minimum). Salary ranges are listed by location in the posting; posting indicates Capital One may sponsor employment authorization.

Lead a high-performing operational team to deliver Technical Quality of Acceptance across Latin America, the Caribbean and Mexico; diagnose and remediate acceptance breakages across the merchant-to-acquirer payment chain. Role requires payments/acceptance subject-matter experience, people leadership, bilingual fluency in Spanish and English, and ~15% travel; position is remote-eligible based in the U.S.

Capital One seeks a Staff AI Engineer to partner with cross-functional teams to design, develop, deploy, and support AI components including foundation model training, LLM inference, agents/multi-agent workflows, similarity search/VectorDBs, guardrails, evaluation, and observability. The role emphasizes optimization for scalability, cost, latency, and throughput, adopting open-source and cloud tools (e.g., PyTorch, Hugging Face, AWS). Basic qualifications require a related Bachelor's plus 8 years experience or a related Master's plus 6 years experience. Position is remote-eligible and also listed for specific US locations.

Lead and deliver large-scale, cloud-native and distributed systems; provide technical leadership across teams, shape architecture and platform roadmaps, mentor engineers, and build full-stack solutions using languages such as Java, Scala, Python, Go, Node.js, JavaScript/TypeScript. Technologies include container orchestration (Docker, Kubernetes), AWS/GCP/Azure, RDBMS/NoSQL, CI/CD, infrastructure as code, observability and automated testing. Position is remote-eligible and Capital One may sponsor employment authorization.

Capital One is hiring a Mobile Engineer (Mobile Engineer 4) to design and implement native mobile experiences (primarily Android/Kotlin), lead mobile architecture and reusable components, and mentor other engineers. The role includes building BFFs and Server-Driven UI, driving performance, accessibility, testing and staged rollout practices, and adopting AI-assisted development tools. Position is remote-eligible within the US and requires a minimum of 4 years of professional software engineering experience.

Capital One is hiring a Full-stack Engineer 4 to lead technology projects and contribute technical leadership on cloud-based, microservices-oriented full-stack systems for the Shopping team. Requires a bachelor’s degree, minimum 4 years of software engineering experience, and at least 2 years with public cloud platforms. Remote-eligible (US) and includes posted annual salary ranges; the employer will not sponsor new work authorization.

Senior technical individual contributor role responsible for driving architecture and platform strategy, modernizing monoliths to microservices and event-driven platforms, ensuring non-functional qualities (performance, scalability, operability), mentoring engineers, and contributing hands-on across cloud (AWS/Azure/GCP), data architecture, and distributed/HPC and ML systems.

Capital One is hiring a Director, Full‑stack Engineer for its Shopping Tech team (remote‑eligible/ McLean, VA). The role leads and grows multiple product‑focused engineering teams, shapes architecture and technical strategy, drives migration to microservices and AWS deployments, and mentors senior engineers. Required experience includes people management and extensive software, cloud, and architecture experience across technologies such as Node.js, Java, Go, React, Python, NoSQL and relational databases, and public cloud platforms.