Manager (AI)

Manager (AI)We are seeking a strategic and technically skilled AI Consultant to join NTUC’s Transformation Office. As an AI thought leader, you will be responsible for shaping AI strategies, leading AI engagements, and delivering high-impact AI projects from concept to execution. You will bring deep knowledge in generative and agentic AI, with hands-on experience using platforms such as Microsoft Copilot Studio, Vertex AI Agent Builder, and AWS Q.Key ResponsibilitiesThought LeadershipServe as a subject matter expert and advisor on the evolving AI landscape, especially in generative and agentic AI.Produce whitepapers, POVs, and internal briefings on emerging AI trends, risks, and opportunities.Help develop and evangelize the organisation’s AI vision and innovation roadmap.Project Consulting & DeliveryLead end-to-end AI project lifecycle: from ideation and scoping to delivery, testing, and optimization.Translate business needs into actionable AI use cases and solutions.Oversee cross-functional delivery teams, managing scope, timelines, and stakeholder expectations.Apply Agile and modern project management practices to ensure successful outcomes.Ability to develop AI prototypes and coding experience is an advantage.Technical Expertise & Tool ImplementationPrototype solutions using generative AI models (e.g., GPT, Gemini, Claude).Design and deploy intelligent agent workflows using tools like Microsoft Copilot Studio, Vertex AI Agent Builder, and AWS Q.Evaluate and integrate third-party APIs, LLMs, and open-source frameworks where applicable.Collaborate with data scientists, engineers, and designers to deliver scalable and secure AI solutions.RequirementsExperience3-5 years in AI/ML consulting, product development, or innovation roles, with experience in at least one major AI platform.Proven track record of delivering AI/ML projects in enterprise or consulting environments.Experience working with at least one or more enterprise AI platforms, such as Microsoft Copilot Studio, Vertex AI Agent Builder, AWS Q and Bedrock.Familiarity with prompt engineering, multi-agent systems, knowledge graphs, and LLM fine-tuning.SkillsStrong grasp of LLMs, RAG pipelines, vector databases, and orchestration tools.Ability to communicate complex AI concepts to technical and non-technical stakeholders.Project management certifications (e.g., PMP, Scrum Master) are a plus.Cloud certifications (e.g., AWS, Azure, Google Cloud) are advantageous.EducationBachelor’s in computer science, Engineering, Data/Analytics, Information Systems or equivalent practical experienceIdeal Candidate TraitsStrategic innovator with a pragmatic delivery mindset.Entrepreneurial, proactive, and highly collaborative.Comfortable in fast-paced, ambiguous environments.Passionate about AI ethics, safety, and human-centered design.We regret to inform that only shortlisted candidates will be contacted.