Senior Data Engineer: AI/GenAI Data Pipelines Lead
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Software Development
AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
McKinsey & Company is seeking a senior Data Engineer leading the design and implementation of scalable data architectures for cutting-edge AI systems. You will own technical work streams, mentor engineers, and collaborate with clients to deliver enterprise-grade ML solutions, integrating Generative AI, agentic frameworks, and robust data governance across cloud environments.
You will work with cross-functional teams in a North American office context, driving feature engineering, MLOps/LLMOps
The Senior Data Engineer: AI/GenAI Data Pipelines Lead role at McKinsey is now open for applications in New York, NY, United States.
Full responsibilities and requirements are described in the listing above.
Learn more about the Senior Data Engineer: AI/GenAI Data Pipelines Lead role in the description above.
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Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).