Top Tech Jobs & Startup Jobs in NYC, NY

Designs, develops, deploys, and supports scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. The role optimizes model performance, GPU/TPU utilization, latency, throughput, and cost; owns complex AI architecture; defines reliability objectives; leads technical reviews; and mentors engineering teams.

Conduct applied research in AI foundations, large language models, and agentic AI. Design, train, evaluate, validate, and deploy foundation models at scale using modern deep learning frameworks and cloud infrastructure. Develop novel methods, deliver platform or product code, collaborate with data scientists, engineers, and product managers, and communicate findings through technical reports or conference publications.

Design, develop, deploy, and optimize production AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead architecture and cost-performance governance for scalable AI platforms, establish engineering standards, contribute to technical roadmaps, and mentor senior AI engineers. Collaborate with scientists, engineers, technical program managers, and product managers to deliver responsible AI products.

Leads strategic and quantitative analysis for Commercial Risk Management, supporting credit risk model development, underwriting, loss forecasting, and performance improvements. Evaluates model prototypes using data visualization and storytelling, translates technical findings into business recommendations, tests hypotheses, develops monitoring plans, and partners with model developers, credit officers, underwriters, finance, and relationship managers to implement solutions.

Conduct applied research in AI foundations, large language models, and agentic AI. Build and evaluate foundation models across training, validation, optimization, and deployment. Collaborate with data scientists, engineers, and product managers to deliver scalable AI products, translate research into business outcomes, and publish technical reports or conference papers. The role requires expertise in deep learning, model optimization, self-supervised learning, robustness, explainability, or RLHF.

Lead product design strategy and execution for Capital One’s Commercial Bank digital banking platform. Expand the design component library, migrate to the enterprise design system, shape AI experience strategy, mentor designers, influence product direction, and collaborate with product, technology, and business leaders. Apply human-centered design, research insights, prototyping, and strategic problem-solving to deliver impactful customer and associate experiences.

Develop and deploy foundational AI systems, including foundation model training, LLM inference, agent workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI systems for scalability, cost, latency, throughput, and hardware utilization. Build training and deployment pipelines, improve datasets and evaluation methods, support responsible AI practices, and mentor junior engineers while contributing to long-term technical strategy.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for cost, latency, throughput, scalability, and hardware utilization. Lead architecture reviews, establish technical standards, contribute to foundational AI roadmaps, and mentor senior engineering leaders.

Design, develop, deploy, and support scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization across production systems. Own complex AI architecture, reliability objectives, and technical roadmaps while ensuring security, compliance, and ethical alignment. Lead technical reviews, collaborate across engineering and product teams, and mentor senior and principal associates.

Develop and lead scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Design end-to-end architectures, optimize model performance and infrastructure utilization, define reliability objectives, ensure security and compliance, contribute to technical roadmaps, and mentor engineering staff. The role requires strong programming, AI/ML engineering, distributed systems, cloud, and model optimization expertise.