AI Specialist at Mandai Wildlife Group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied AI, Agentic AI Workflows, Snowflake, Large Language Models, Data Analytics, Machine Learning, Data Governance, Responsible AI, Stakeholder Communication, Decision Automation, Prototyping, Model Risk Management

Industry

Travel Arrangements

Description

Mandai Wildlife Group is the steward of Mandai Wildlife Reserve, a unique wildlife and nature destination in Singapore that is home to world-renown wildlife parks which connect visitors to the fascinating world of wildlife. The Group is driving an exciting rejuvenation plan at Mandai Wildlife Reserve, adjacent to Singapore’s Central Catchment Nature Reserve, that will integrate five wildlife parks with distinctive nature-based experiences, green public spaces and an eco-friendly resort. Job Duties and Responsibilities: We are seeking an AI Specialist to design, develop, and operationalize applied and agentic AI solutions that advance Mandai’s strategic imperatives across conservation, guest experience, commercial growth, and organisational productivity. Reporting to the Head of Data Science, this role focuses on translating data and AI capabilities into trusted, scalable, and responsible outcomes, with Mandai’s core AI platform on Snowflake. The ideal candidate blends strong technical depth with business acumen, and is comfortable working across data, AI models, agentic workflows, and stakeholders to move AI from experimentation into real‑world impact. AI Platform & Agentic Capability Enablement · Design, build, and enhance agentic AI workflows and AI use cases on Mandai’s AI platforms (e.g. Snowflake), including analytics, LLM‑enabled services, and decision automation. · Translate business objectives into AI‑powered solutions that support faster, better‑quality decisions and actions. · Ensure AI solutions are production‑ready, observable, and aligned to Mandai’s architecture and governance standards. Use Case Development & Business Partnership · Work closely with business, conservation, commercial, and operations teams to identify, prototype, and scale high‑value AI and agentic use cases. · Support initiatives spanning guest experience personalisation, commercial optimisation, conservation analytics, operational efficiency, and workforce productivity. · Enable the shift from AI insights to AI‑assisted and agent‑driven actions. Data, Semantics & Trust · Partner with data platform teams to ensure AI solutions are grounded in high‑quality, well‑governed, and semantically consistent Mandai data. · Reduce AI risk through strong data grounding, metric definitions, and explainability. · Contribute to the development of agent‑ready data and decision frameworks. Responsible AI & Governance · Embed Responsible AI principles, security, privacy, and ethical considerations into AI design and deployment. · Support model reviews, risk assessments, and compliance requirements, especially for guest‑facing or revenue‑impacting use cases. · Act as a steward of trust, ensuring AI use strengthens Mandai’s reputation and ESG commitments. Capability Building & Enablement · Improve organisational AI fluency by working with teams to adopt AI and agent‑based ways of working. · Contribute to internal AI standards, playbooks, and best practices. · Stay current on AI and agentic technologies, advising on practical adoption rather than experimental novelty. Job Requirements: · Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline. · Fresh graduate with experience in applied AI, data analytics, machine learning, or intelligent automation in University projects. · Hands‑on experience with analytics platforms, AI/ML models, or LLM‑enabled solutions; exposure to agentic or workflow‑based AI is a strong advantage. · Strong understanding of data governance, model risk, and Responsible AI considerations. · Proven ability to translate business problems into practical, scalable technical solutions. · Excellent stakeholder communication skills, with the ability to explain complex concepts in clear business terms. · Self‑driven, curious, and comfortable operating in a fast‑evolving AI landscape.

Responsibilities

Design and operationalize applied and agentic AI solutions on the Snowflake platform to enhance conservation, guest experience, and organizational productivity. Partner with business teams to translate strategic objectives into scalable, responsible AI-powered actions and workflows.