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Senior Data Engineer - QuantumBlack, AI McKinsey
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-10-16
Listing for:
McKinsey & Company
Full Time
position Listed on 2026-10-16
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Job of role:
Full-time Interest:
Serve Clients / Tech & AISkill group: N/AF unctions:
Technology Region:
North America Locations:
Atlanta (United States) | Boston (United States) | Chicago (United States) | New Jersey (United States) | New York (United States) | Raleigh (United States) | San Francisco (United States) | Toronto (Canada) | Washington DC (United States)
Compensation Range: $175,500 - $180,000
Compensation Range Canada: $195,700 - $200,000
Posted (Linked In):
Created:
Apply: you'll work with Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible.
Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have:
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters:
From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits:
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
What you'll doYou will be a technical owner, designing and leading the implementation of scalable data architectures for cutting-edge AI and agentic systems. You will lead the development of robust data pipelines, manage secure and governed data environments, and mentor junior colleagues while collaborating with clients and cross-functional teams. You'll tackle impactful challenges and grow as a leader by architecting innovative AI solutions across diverse industries.
You will own and deliver technical work streams, designing machine learning, agentic, and autonomous AI systems. You'll lead the integration of machine learning, Generative AI capabilities and agentic frameworks into client solutions, designing MLOps/LLMOps-focused architectures for model management, observability, and automated retraining. You will also spearhead the design of complex feature engineering work streams, ensuring our data assets are not only robust but also optimized for the next generation of AI models.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. By partnering with Quantum Black, AI by McKinsey and Quantum Black Labs teams, you'll lead the creation of innovative…
Position Requirements
10+ Years
work experience
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