As a Principal AI Solution Architect at McKinsey, you will combine deep expertise in full-stack engineering and advanced AI systems to deliver transformative outcomes for clients.
You will design and build scalable, production-grade solutions, spanning data pipelines, machine learning models, and modern application layers, seamlessly integrating them into client ecosystems to address complex business challenges and drive measurable impact.
In this role, you will bridge technical and business teams, ensuring seamless communication and alignment. Whether leading technical builds, scoping ambiguous problems, or advising on strategy and ROI, you will flex across technical and consulting skill sets to meet clients where they are and deliver sustainable impact.
You will act as a trusted advisor to senior executives, translating business needs into actionable technical roadmaps and guiding clients through the full journey of solution development, adoption, and scaling. Leveraging solutions engineering—including expertise in data, AI/ML, and architecture—you will deliver innovative, high-impact technologies while guiding clients to align priorities, navigate ambiguity, and achieve their strategic objectives.
Beyond delivering solutions, you will build client capabilities by mentoring stakeholders and enabling them to sustain and scale technologies. You will also shape un-scoped or emerging projects, turning broad ambitions into actionable roadmaps and delivery plans. By balancing hands-on technical execution with strategic advisory, and leadership, you will help clients achieve immediate results while driving long-term technology-driven success.
By combining your technical expertise, consulting acumen, and ability to lead high-impact engagements, you will help clients solve their most pressing challenges and contribute to McKinsey’s reputation for delivering innovative, technology-driven solutions.