Technical Lead, AI & Digital Products

SG Growth Capital Pte Ltd.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

SG Growth Capital is strengthening its AI and digital capabilities in Singapore. As Technical Lead, AI & Digital Products, you will drive the AI transformation agenda, build AI-enabled applications and automated workflows, and lead a small engineering team while coding and reviewing work.

You will partner with stakeholders to understand workflows, translate needs into practical technology solutions and ensure secure, scalable delivery across platforms.

Qualifications

• Proven hands-on software engineering with strong coding, design and review capabilities.
• Experience leading technical teams, hiring engineers and delivering complex projects.
• Ability to translate business needs into practical technology solutions and roadmaps.

Responsibilities

• Drive scope, roadmap, architecture and delivery of AI transformation and digital platform capabilities.
• Partner with stakeholders to understand workflows, define solutions and iterate based on feedback.
• Remain hands-on in design, coding and code reviews to maintain engineering standards.
• Build and lead a small engineering team, hiring, onboarding and coaching engineers.
• Design secure, reliable and scalable AI-enabled applications and data-driven tools.
• Assess cybersecurity, data protection and technology risks and implement mitigations.
• Collaborate with business units and external partners to manage dependencies and delivery.

Skills

Software engineering

Technical leadership

Hiring & mentoring

Architecture & design

Cybersecurity awareness

Job description

SG Growth Capital is the strategic investment platform of Singapore Economic Development Board (EDB) and Enterprise Singapore. We provide capital, networks and expertise to help portfolio companies scale across the region and globally. Through our investment arms EDBI and SEEDS, we back global leaders and local startups to drive innovation, create good jobs and support Singapore's long-term economic resilience.

Our investments focus on high-growth sectors including the Digital Economy, Green and Bio-Economy, Next-Gen Hardware, Healthcare, and other select industry clusters. Join us and be part of the journey.

SGGC is strengthening its technology, digital and AI capabilities to support the firm's strategic priorities, investment activities and operations. As Technical Lead, AI & Digital Products, you will play a central role in driving SGGC's AI transformation agenda, including the build-out of AI-enabled applications, workflow automation, internal digital products and technology platforms. The role will span problem definition, solution design, technical delivery, deployment and continuous improvement.

This is a hands-on technical leadership role requiring the successful candidate to build and lead a small engineering team while remaining directly involved in coding, technical design and code review. The successful candidate will work closely with business stakeholders and end users to identify high-impact opportunities for AI adoption, automation and digital product development, and to deliver practical, secure and scalable technology solutions. The role will also strengthen SGGC's engineering practices and provide recommendations on architecture, cybersecurity, data protection and technology risk.

Key Responsibilities

• Drive the scope, roadmap, architecture and end-to-end delivery of SGGC's AI transformation, digital product, workflow automation and technology platform capabilities, including the identification and prioritisation of practical AI use cases, translating them into deliverable solutions with clear adoption, governance and impact considerations.
• Partner with business stakeholders and end users to understand workflow challenges, scope solutions tightly, ship quickly, and use feedback and operational data to iterate and improve delivered solutions.
• Remain a hands-on technical contributor by designing solutions, writing and reviewing production code, resolving complex technical issues and establishing sound engineering practices.
• Build and lead a small engineering team, including hiring, onboarding, coaching and developing engineers, setting clear expectations and fostering a culture of ownership, technical excellence and continuous learning.
• Design and deliver secure, reliable, maintainable and scalable solutions, including AI-enabled applications, workflow automation and data-driven tools where these can achieve meaningful business outcomes.
• Assess cybersecurity, data protection, resilience, integration and technology risks, and recommend appropriate architecture, controls and mitigations based on SGGC's information sensitivity and governance requirements.
• Work with business units, end users, external technology partners and vendors to manage dependencies, integrate solutions and support delivery.

Requirements

• At least 7 years of software engineering experience, including experience leading technical teams, hiring and developing engineers, or managing complex delivery workstreams.
• Demonstrated experience owning and delivering software products, internal digital products or workflow automation solutions from problem definition through deployment and continuous improvement.
• Strong hands-on software engineering capabilities, including proficiency in modern programming languages, frameworks, APIs, databases and cloud technologies.
• Experience designing secure, maintainable and scalable solutions, with sound judgement in architecture, integration, testing, deployment and operational support.
• Ability to conduct technical reviews, establish engineering standards and provide clear technical recommendations on architecture, cybersecurity, data protection and technology risk.
• Proven ability to work directly with business stakeholders and end users, understand complex workflows and translate business needs into practical technology solutions.
• Strong communication, analytical and problem-solving skills, with the ability to make sound technical and delivery decisions in complex or ambiguous situations.