AI Architect (On-Premises Agentic Stack)

Job Description

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.

The Digital Division leads the digital transformation of DSO through the master planning and policies, delivering digital capabilities through IT infrastructure, and providing one stop service to corporate and R&D Divisions. The Digital Division will transform the way we work, our workplace, and the capabilities we deliver to the MINDEF/SAF and for the security of Singapore.

People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.

AI Architect (On-Premises Agentic Stack)

As the AI Architect, you will spearhead the design, implementation, and maintenance of a full-stack, on-premises AI agentic system. This is a leadership role which demands technical expertise in AI domains and possesses a proven track record as an architect who have designed enterprise-wide applications and infrastructure.

Reporting directly to the Chief Digital Officer (CDO), you will translate complex enterprise requirements into physical architectural blueprints.

In This Role, You Will

Architectural Leadership: Own the technical vision, end-to-end design, and deployment of our high-performance, full-stack, on-premises AI infrastructure.
Agentic Tech Stack Design: Design and maintain autonomous multi-agent systems, and orchestration frameworks.
CDO Strategic Alignment: Partner directly with the CDO to convert abstract business strategies into concrete, actionable implementation plans and technical milestones.
Governance & Security Controls: Work with risk, compliance, and security teams to build guardrails and control for on- premises AI.
Compute Optimization: Work on bare-metal deployments, high-performance compute clusters (GPUs), specialized networking, and containerized orchestration workflows.
Build new capabilities: Keep tabs on new trends and capabilities to incorporate into the tech stack to support users.

Job Requirements

Degree in Computer Science
Experience & Seniority: 8+ years of enterprise systems architecture experience, with a heavy emphasis on leading engineering teams and owning large-scale infrastructure projects.
AI Stack Mastery: Proven, hands-on experience designing, implementing, and scaling end-to-end AI tech stacks.
Technical Stack Expertise: Proficiency with open-source LLMs, local agentic orchestration frameworks (e.g., LangChain, AutoGen, CrewAI), Docker, Kubernetes, and local MLOps toolchains.
Good communicator: Open minded and ability to translate business requirements to tech architecture.
Must hold at least one professional, expert-level architecture certification (e.g., AWS Certified Solutions Architect # Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect Expert, or TOGAF)