You will lead the design and development of innovative AI solutions by seamlessly combining advanced software development practices with robust data engineering expertise.
You will collaborate with a global network of technologists, data scientists, and industry experts to help clients transform their businesses through advanced analytics and AI-driven solutions. You’ll develop scalable data pipelines, build cutting-edge software products, and contribute to the development of AI models while mentoring client teams and shaping engineering cultures.
You will take on diverse and impactful responsibilities that blend technical expertise with strategic collaboration. You will architect and build scalable, modular, and reproducible data pipelines tailored for machine learning and AI applications. Additionally, you will develop software products and services from the ground up, ensuring they are maintainable, scalable, and secure. Collaborating with cross-functional teams, you will assess data landscapes, ensure data quality, and prepare data for advanced analytics models. Your work will also involve managing secure data environments and contributing to research and development initiatives, as well as internal asset development, to continuously expand your technical expertise.
Beyond technical execution, you will participate in cross-functional problem-solving sessions with client leaders, helping shape their digital strategies and delivering solutions that extend beyond the product itself. A key part of your work will be mentoring client teams on engineering best practices, user-centric design, and Agile values, enabling them to build the technical capabilities and cultures necessary to sustain AI-driven solutions. Your work will address real-world challenges across industries, driving meaningful and lasting impact. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you will help create cutting-edge machine learning systems that accelerate AI adoption and solve complex business problems at scale.