Principal Project Director (Technical Project Manager) - Central AI Platform

About the role

NCS, a technology services firm operating across the Asia Pacific, is looking for a Principal Project Director (Technical Project Manager) to lead the implementation of its Central AI Platform. The platform is the enterprise foundation for AI, LLM and Multi-Agent capabilities across business units. The role drives structured delivery of platform components such as the Model & Inference Gateway, Shared Agent Runtime, Shared RAG Service, Developer Portal, ML Training Plane and Ops & Security framework, coordinating engineering, architecture, security, vendor and business teams.

Key responsibilities

• Develop and maintain project plans, schedules, milestones and delivery roadmaps, and drive the MVP within a 90-day timeline before phased rollouts.
• Track progress across workstreams (gateway, runtime, RAG, training plane, developer portal, ops/security, integration, vendor solutions) and manage interdependencies, risks and issues.
• Partner with engineering, architects, security and Value Pool teams, coordinate external vendors and hyperscaler partners, and run daily stand-ups, sprint reviews and technical workshops.
• Translate technical requirements into project tasks, review architecture and design decisions, and support CI/CD pipelines, dashboards, observability and security gates.
• Maintain RAID logs, dashboards and executive status reports, and embed AI safety, responsible AI and enterprise security checkpoints into delivery.
• Support onboarding of pilot business unit use cases, coordinate documentation and training materials, and drive early adoption.

Required profile

• 5-8 years of experience as a Project Manager or Technical Project Manager in enterprise IT, cloud or AI/ML projects.
• Proven track record delivering platform or infrastructure projects with multi-team coordination.
• Bachelor's degree in Computer Science, Engineering, IT or a related field.
• Preferred: experience in telco, large enterprise or regulated industries.

Required skills

• Agile / Scrum / Hybrid project planning and execution.
• Solid technical understanding of cloud and AI platforms.
• Familiarity with Kubernetes, MLOps, vector databases, LLMOps, cloud services and enterprise security.
• Stakeholder communication, vendor coordination, risk management and issue resolution.