Senior Data Engineer Lead: Generative AI and MLOps Architect

McKinsey

Singapore

On-site

SGD 260,000 - 420,000

Full time

3 days ago
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Job summary

McKinsey & Company, based in Singapore, seeks a Technical Leader to own vision and delivery of cutting-edge AI and agentic systems. You will guide teams building enterprise-grade data ecosystems, secure environments, and scalable GenAI applications while mentoring colleagues and advising clients.

You will lead cross-functional teams of Data Scientists, ML Engineers, and domain experts, collaborating with senior stakeholders to shape AI strategy across industries and ensure rapid, scalable impact.

Qualifications

  • Degree in Computer Science/Engineering or equivalent experience.
  • 7+ years of relevant professional experience with technical leadership in data engineering or architecture.
  • Deep expertise in architecting enterprise-grade AI and data systems including GenAI, multi-agent, and vector databases.
  • Experience with MLOps/LLMOps, CI/CD for data workflows, and IaC across cloud providers.

Responsibilities

  • Own technical platforms and lead delivery of ML, AI, and autonomous systems.
  • Architect scalable data solutions for ML/GenAI applications across environments.
  • Advise clients on GenAI design and mature MLOps/LLMOps implementations.
  • Lead cross-functional Agile teams of data scientists, ML engineers, and domain experts.
  • Collaborate with senior stakeholders to translate business needs into technical strategy.

Skills

Technical leadership
Mentoring
Communication
Stakeholder management

Education

Degree in Computer Science/Engineering

Tools

LangSmith
Langfuse
Terraform
Cursor
Claude Code
Codex

Job description

McKinsey & Company, based in Singapore, seeks a Technical Leader to own vision and delivery of cutting-edge AI and agentic systems. You will guide teams building enterprise-grade data ecosystems, secure environments, and scalable GenAI applications while mentoring colleagues and advising clients.

You will lead cross-functional teams of Data Scientists, ML Engineers, and domain experts, collaborating with senior stakeholders to shape AI strategy across industries and ensure rapid, scalable impact.

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