McKinsey & Company

Job ID: 111204
Singapore City
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You will act as a technical leader and architect, owning the vision and delivery of our most cutting-edge AI and agentic systems.
You will lead technical teams, design scalable enterprise-grade data ecosystems, and manage secure environments while mentoring colleagues and advising clients. You'll tackle our most impactful challenges and grow as a strategic leader by shaping innovative AI solutions across diverse industries.
You will:
<ul>
<li>Own technical platforms and lead the delivery of machine learning, agentic, and autonomous AI systems.</li>
<li>Architect and guide teams in building robust, scalable, and reproducible data solutions for machine learning and Generative AI applications, including multi-agent systems and vector databases.</li>
<li>Advise clients on the solution design of GenAI capabilities, steer the implementation of mature MLOps/LLMOps frameworks, and contribute to R&amp;D that pushes the boundaries of what's possible in AI.</li>
<li>Your work will solve some of the most complex and high-impact challenges facing clients across industries.</li>
<li>Partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help create the innovative, enterprise-grade systems that accelerate AI adoption and solve critical business problems at speed and scale. Your strategic guidance will enable clients to not only implement but also sustain meaningful, lasting impact through cutting-edge data architecture and AI.</li>
<li>Lead cross-functional Agile teams of Data Scientists, Machine Learning Engineers, and industry experts to deliver transformative AI solutions.</li>
<li>Collaborating with senior client stakeholders from data owners to C-level executives, you’ll design and implement impactful solutions that address their most complex business challenges.</li>
</ul>
You will be based in Singapore as part of our global Data Engineering community, and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts.
Your work offers a unique opportunity to grow as a senior technologist and leader at the forefront of AI, data engineering, and emerging agentic technologies. You’ll solidify your expertise at the intersection of technology and business strategy by leading teams through diverse and complex challenges. Working alongside multidisciplinary teams, you’ll drive the firm's thinking on AI architecture while collaborating with some of the leading AI and data experts in the industry.
YOUR GROWTH
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:
<ul>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
</ul>
YOUR QUALIFICATIONS AND SKILLS
Degree in Computer Science/Engineering, or equivalent experience
7+ years of relevant professional experience, with a track record of technical leadership in data engineering or architecture, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
Deep expertise in architecting and leading the development of enterprise-grade Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including scalable agentic systems, retrieval-augmented generation (RAG), advanced vector search strategies, and production-ready orchestration
Ability to lead the technical direction for AI systems across multiple teams, driving architectural decisions, implementation quality, evaluation, and reliability while advising senior stakeholders on the strategic trade-offs between model quality, latency, and cost
Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
Ability to scope large-scale technical projects, define strategic roadmaps, and effectively lead and mentor data engineering teams
Proven commercial client-facing experience, with the ability to translate complex business needs into technical strategy and influence senior stakeholders
Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
Strong communication skills, both verbal and written, in English and local office language(s)
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Senior Data Engineer II - QuantumBlack, AI by McKinsey

Senior Data Engineer II - QuantumBlack, AI by McKinsey

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