Tech Lead & AI Systems Architect (Fullstack & Team Builder)

Randstad Singapore; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Randstad Singapore is recruiting the first tech team hire for a prominent investment firm in central Singapore. You will lead strategy, architecture, and deployment of internal digital applications, automation, and AI-driven solutions.

The role combines hands-on full-stack development with team management (50/50) and will involve building and leading a 3–5 person engineering team, guiding end-to-end software delivery from problem definition to deployment and continuous optimization.

Qualifications

• Bachelor's degree in CS/IT or related field.
• Min 7 years of software engineering with leadership/delivery ownership.
• Experience designing and deploying secure, cloud-native architectures (AWS/Azure/GCP).
• Proven track record building automated workflows or AI/ML-enabled software.
• Strong stakeholder management and analytical/problem-solving skills.

Responsibilities

• Lead the strategy, architecture, and deployment of internal digital applications, workflow automation, and AI-driven solutions.
• Balance a hands-on approach (50% fullstack development & system design) with team management responsibilities (50%).
• Hire your own engineering team of 3 to 5 developers.
• Oversee end-to-end software delivery from initial problem definition through deployment, maintenance, and continuous optimization.

Skills

Team leadership

Cloud-native architectures

AI/ML capabilities

Stakeholder management

Fullstack development

Education

Bachelor's degree in CS/IT

Job description

Randstad Singapore is recruiting the first tech team hire for a prominent investment firm in central Singapore. You will lead strategy, architecture, and deployment of internal digital applications, automation, and AI-driven solutions.

The role combines hands-on full-stack development with team management (50/50) and will involve building and leading a 3–5 person engineering team, guiding end-to-end software delivery from problem definition to deployment and continuous optimization.