Top Tech Jobs & Startup Jobs in NYC, NY

The Lead AI Engineer will design, develop, deploy, and support AI software components, collaborating with cross-functional teams to create scalable AI solutions that enhance customer interactions and operational efficiency.

In this role, you will develop AI foundation models, conduct applied research, and collaborate with cross-functional teams to enhance customer experiences through AI-powered products.

Design, develop, deploy, and support foundational AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize training/inference for scalability, cost, latency, and throughput. Partner cross-functionally to deliver production AI services and shape the technical vision and roadmap for foundational AI at scale.

The Lead AI Engineer will develop and deploy AI software components, optimize AI systems, and collaborate with cross-functional teams at Capital One to enhance customer interactions through AI technology.

Lead the development of international pricing strategy and manage complex projects. Collaborate with stakeholders to build capabilities for revenue growth and ensure operational excellence.

The Manager, Cyber Risk & Analysis oversees cybersecurity and compliance initiatives, ensuring alignment with regulations and security controls. Responsibilities include risk assessments, maintaining security frameworks, and collaborating with cross-functional teams.

The Senior Lead AI Engineer will design, develop, and support AI systems, leveraging machine learning technologies to enhance customer experiences and optimize AI performance.

Lead design, develop, test, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search/VectorDBs, guardrails, evaluation, observability, and optimization for scalability, cost, latency, and throughput. Partner cross-functionally and contribute to technical vision and roadmap.

The Lead Data Engineer will design, develop, and implement technical solutions while collaborating with Agile teams and leveraging data technologies to solve business problems.

As a Principal Data Analyst, you will drive workforce analytics initiatives, develop self-service data tools, and ensure data quality, leveraging various programming and data visualization tools.