Technical Programme Manager, Embodied AI Centre (EAIC)
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 27, 2026. Agency for Science, Technology and Research scores B on the Alion truth index.
Summary
Singapore's Embodied AI Centre (EAIC) is a new national initiative under the RIE2030 Manufacturing, Trade and Connectivity domains to establish Singapore as a leading robotics and embodied AI hub. EAIC brings together research and industry partners to build engineering and R&D capabilities, advance trusted evaluation, benchmarking and validation of embodied AI models and robotics solutions, and promote an open and interoperable ecosystem that accelerates adoption in real-world applications.
As a Technical Programme Manager, you will be responsible for driving the successful delivery of critical embodied AI projects from concept to productionization and deployment. This role combines strong technical expertise in robotics / embodied AI systems with program leadership, cross-functional coordination, and stakeholder engagement.
Job Description
Lead programme planning, execution and tracking across multidisciplinary engineering workstreams.
Work with technical leads to define scope, milestones, dependencies, resources and delivery plans.
Monitor programme risks, issues and decisions, and drive timely follow-up with accountable owners.
Coordinate collaboration across AI/robotics, software, data, hardware, research and external partner teams.
Prepare clear programme updates, decision papers and governance materials for stakeholders.
Improve programme management processes, reporting and delivery discipline as EAIC scales.
Job Requirements
Around 5 years of experience managing technology, engineering, product development or R&D projects.
Demonstrated ability to coordinate cross-functional technical teams and manage complex dependencies.
Ability to understand technical concepts and communicate effectively with engineering and non-technical stakeholders.
Familiar with AI, robotics, software, deep-tech or advanced engineering environments.