Lead the Intelligent Foundations and Experiences team to design, build, deploy, and govern large-scale AI systems (foundation model training, LLM inference, similarity search, observability, Responsible AI). Requirements include advanced AI/ML engineering experience, cloud deployment experience, and people leadership; Capital One may sponsor employment authorization.

Capital One seeks a Director of AI Engineering to own the design, development, and operation of the company's generative AI training platform: distributed training/fine-tuning, reinforcement learning workflows, GPU scheduling and utilization, and self-service experimentation environments. The role requires hands-on technical leadership, people management, capacity and cost governance for GPU fleets, and driving enterprise Responsible AI and governance practices.

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences (IFX) team to design, develop, deploy, and support foundation-model and LLM-based production systems (including inference, training, agents, similarity search/VectorDBs, model routing, caching, orchestration, observability, evaluation, and governance). Role emphasizes performance and cost optimization, multi-cloud resilience, responsible AI, and cross-functional technical leadership. Remote-eligible; employer may sponsor work authorization.

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).

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.

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.

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.