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Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
Build and maintain scalable data pipelines and infrastructure to power AI models and LLMs for enterprise solutions.
Build and deploy secure backend services in Python/TypeScript, using Kubernetes and AWS, while securing cloud apps and automating CI/CD for edtech games used in learning and assessment.
Build and scale internal AI-powered platforms and tools using JavaScript/TypeScript, cloud services, and GenAI features to empower decision-making across McKinsey.
McKinsey & Company seeks a senior engineering leader to join our capabilities team, combining full-stack engineering with advanced AI systems to deliver transformative client outcomes. You will design and build…
Atlanta Boston Chicago Denver New Jersey New York City Raleigh San Francisco Toronto Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are…
McKinsey & Company is seeking a senior solutions engineer to drive transformative, technology-driven outcomes for clients in a fast-paced environment. You will design and deliver scalable AI-enabled solutions spanning…
McKinsey & Company in the United States is seeking a senior solutions engineer to lead full-stack development and AI-driven client engagements. You will design scalable data pipelines, build production-grade models,…
Builds a React/Next.js web app that delivers generative AI analytics to finance teams, integrating cloud-based AI capabilities.
Builds and deploys full-stack AI applications using modern frontend and backend tools, while collaborating with clients and teams to deliver scalable solutions.
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