Tech Lead — AI & Cloud Systems Architect

McKinsey

Singapore

On-site

SGD 180,000 - 260,000

Full time

3 days ago
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Benefits offered by this job

World-class benefits
Global community
Competitive salary

Job summary

McKinsey & Company seeks a technical lead to own the technical direction of the team, designing complex software systems and guiding architectural decisions. You will mentor engineers, collaborate with clients and product managers, and deliver AI-enabled solutions that drive business value.

You will work with QuantumBlack teams in a cross-functional setup, building production-ready software foundations and ensuring high-quality delivery while expanding your skills in AI and software engineering.

Qualifications

  • Undergraduate or master’s degree; or equivalent experience.
  • Ability to lead the design of complex API ecosystems — including REST and GraphQL — with a focus on consistency, scalability, and long-term maintainability.
  • Proven experience architecting and delivering complex cloud solutions independently, including multi-tier cloud migrations and cost-effective cloud-native architectures on platforms such as AWS, Azure, or GCP.
  • Experience establishing agentic engineering standards, reusable workflows, and tooling that measurably improve engineering productivity and delivery quality across teams.
  • Experience driving AI capabilities that teams build upon, owning evaluation frameworks, self-learning loops, and security controls that improve release quality over time.

Responsibilities

  • Lead the design of complex API ecosystems and scalable systems across the full stack.
  • Mentor engineers and collaborate with clients, product managers, and industry experts.
  • Define and uphold engineering standards to deliver robust, scalable software and AI-enabled systems.
  • Work with cross-functional teams to ensure high-quality, production-ready solutions.

Skills

API design
Cloud architecture
Distributed systems
Leadership
Client-facing communication
English communication

Education

Undergraduate or Master’s degree; or equivalent experience

Tools

AWS
Azure
GCP

Job description

McKinsey & Company seeks a technical lead to own the technical direction of the team, designing complex software systems and guiding architectural decisions. You will mentor engineers, collaborate with clients and product managers, and deliver AI-enabled solutions that drive business value.

You will work with QuantumBlack teams in a cross-functional setup, building production-ready software foundations and ensuring high-quality delivery while expanding your skills in AI and software engineering.

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