AI Solutions Architect - GS26013

Activate Interactive Pte Ltd ("Activate") is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people's lives, then we would love to hear from you.

What will you do?

The AI Solution Architect drives the company's AI enabling agenda. Reporting to the Associate Delivery Director, the role leads the AI R&D team, anchors AI presales solutioning, and is accountable for the architecture and delivery of AI pioneering projects. The role translates business requirements into secure, scalable and cost-effective AI solution architectures spanning GenAI/LLM applications, machine learning and intelligent automation, integrated with modern web and mobile application stacks. It sets architecture standards and responsible-AI practices, builds internal AI capability, and guides teams from concept through implementation, ensuring solutions meet client and public-sector compliance expectations.

Drive company-wide AI enabling: define the AI technology roadmap, identify use cases across business units, and build reusable reference architectures, accelerators and internal AI capability.
Lead the AI R&D team: set research direction, prioritize experiments and PoCs, and translate promising outcomes into deliverable solutions and offerings.
Anchor AI presales: solution concepts, architecture proposals, effort estimation, PoCs, demos and tender responses for AI opportunities
Drive delivery of AI pioneering projects from concept through production, ensuring quality, schedule and compliance expectations are met.
Design end-to-end architectures for AI-enabled solutions, including GenAI/LLM applications (RAG, agentic workflows, prompt engineering), ML models and intelligent automation.
Evaluate and select AI platforms, models and services (e.g. Azure OpenAI, AWS Bedrock, Google Vertex AI, open-source LLMs) balancing capability, cost, security and data-residency requirements.
Establish responsible-AI and data governance practices, including security, PDPA and public-sector (e.g. IM8) compliance for AI workloads.
Guide and upskill delivery teams on AI architecture patterns and best practices; review designs and implementations; advise management and clients on emerging AI technologies

Requirements

Domain Skills

Solution architecture for AI/ML systems: GenAI/LLM applications, RAG pipelines, vector databases, agentic frameworks, MLOps.
Agentic AI design and development: multi-agent architectures, tool use / function calling, MCP (Model Context Protocol), and AI coding agents such as Claude Code.
Cloud platforms and AI services (Azure, AWS, GCP), including cost and capacity planning for AI workloads.
Application architecture: web/mobile stacks (e.g. ReactJS, React Native, Node.js), microservices, RESTful APIs, PostgreSQL/MSSQL.
Data engineering fundamentals: data pipelines, embeddings, data quality and governance.
Security and compliance for AI solutions, including responsible-AI practices and Singapore public-sector requirements (e.g. IM8, PDPA)

Non-Domain Skills

Leadership of R&D/technical teams; mentoring and capability building.
Strong communication and presentation skills; able to explain AI concepts to non-technical stakeholders and clients.
Consultative mindset with presales and client-engagement capability.
Analytical problem solving and pragmatic decision making under ambiguity

Education and Certification

Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline.
Cloud architecture certification (e.g. Azure Solutions Architect Expert, AWS Solutions Architect Professional); AI/ML specialty certification (e.g. Azure AI Engineer, AWS ML Specialty); TOGAF

Working Experience

Min. 10 years of IT industry experience, including 3+ years architecting or delivering AI/ML or GenAI solutions in production; hands-on experience building agentic AI solutions and working with AI coding agents such as Claude Code; and experience leading a technical or R&D team.
Desirable: Singapore public-sector project experience; presales solutioning and tender-response experience; hands-on experience with LLM application frameworks (e.g. LangChain, LlamaIndex) and MLOps tooling.

Benefits

What do we offer in return?

Fun working environment
Employee Wellness Program
To work in Singapore Government Agencies projects
We provide structured development framework and growth opportunities. (We are a "SHRI 2025 Gold winner" in "Learning & Development; Coaching & Mentoring")

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, col