701 AI Specialists jobs in Singapore

Description

Company description: The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore Job description: Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action systems. This position is pivotal in bridging state-of-the-art research with practical deployment, directly supporting AISG's mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG's applied research teams and our industry partners. Duties and Responsibilities Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real-time 3D environments. Develop and optimize real-time perception systems leveraging advanced computer vision models. Create and experiment with novel vision-language-action models for autonomous gameplay, drawing inspiration from robotics. Conduct research into multi-agent systems and cooperative/competitive behaviors within simulated environments. Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment. Design innovative reward functions and robust evaluation metrics for reinforcement learning agents. Curate and maintain high-quality datasets for supervised and self-supervised learning paradigms. Build and scale cloud-ready inference pipelines utilizing containerization (Docker, Kubernetes) and MLOps best practices. Perform rigorous latency optimization and benchmarking to ensure real-time system performance. Mentor junior team members and foster a collaborative development environment through constructive code reviews. Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate. Actively participate in cross-functional planning, project retrospectives, and knowledge-sharing initiatives Qualifications A Master's or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field. Strong programming proficiency in Python and C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences. A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission. More Information

Location: Kent Ridge Campus Organization: Office of the Deputy President(Res&Tech) Department : AI Singapore Employee Referral Eligible: No Job requisition ID : 29209 #J-18808-Ljbffr Industry

Other Category

Engineering Sub Category

Design & Development

AI Engineer

About Company

Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.

Position

AI Engineer

Department

AI Engineer

Skills Required

Artificial Intelligence

Educational Qualification(s) Required

BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent

Overview of Job

Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.

Duties & Responsibilities

• Design, develop, and implement AI/ML algorithms and models to solve business challenges.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
• Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
• Develop data pipelines and preprocessing methods for model training and deployment.
• Monitor, evaluate, and improve the performance of AI models and systems.
• Conduct experiments to validate hypotheses and enhance AI system capabilities.
• Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
• Create technical documentation for AI models and workflows.

Required Skills & Qualifications

• Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, R, or Java.
• Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
• Strong understanding of data structures, algorithms, and statistics.
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Ability to work with large datasets and build scalable AI solutions.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.
• Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
• Exposure to big data technologies (e.g., Hadoop, Spark).
• Knowledge of model interpretability and explainability methods.

Onsite Work Location

Singapore

Working Model

Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply.

Apply from Locations

Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad

How to Apply Directly?

Visit URL and Apply directly online by filling our form.

#J-18808-Ljbffr

Position Overview

FirstCom Academy is seeking Adjunct Trainers with practical experience in AI-powered content creation to teach our Prompt Engineering and AI Visual Generation courses. We are looking for two types of trainers:

1. Prompt Engineering Specialist – with deep expertise in crafting prompts for tools like ChatGPT, DALL·E, Midjourney, and other generative AI systems.
2. AI Visual Trainer with Photography Background – who can combine AI tools proficiency with photographic principles (e.g. lighting, angles, composition) to guide learners in creating visually compelling outputs using AI image generation platforms.

Key Responsibilities

Training Delivery

• Conduct hands-on training sessions on topics such as:
  • Prompt structuring for text and image generation
  • AI image creation using tools like Midjourney, DALL·E, Leonardo AI, and others
  • Prompt refinement techniques for tone, accuracy, style, and visual control
  • AI ethics, copyright, and responsible content creation
  • For photography-focused trainers: teaching composition, lighting, framing, and how these principles apply to AI-generated visuals
• Facilitate real-world exercises that encourage creative experimentation and precision.
• Explain both the technical and creative considerations behind effective content generation.
• Support learners in applying prompts to business, marketing, and storytelling use cases.

Assessment Integrity

• Uphold high standards of assessment quality and fairness.
• Ensure all assessment responses are complete and evaluated accurately.
• Conduct oral recovery sessions professionally and document them clearly.

Administrative Responsibilities

• Complete Assessment Summary Records (ASRs) and required documentation promptly.
• Maintain attendance, assessment, and learner performance records accurately.
• Provide feedback to help keep course materials up to date and relevant.

Learner Support and Engagement

• Provide clear, constructive feedback on learner progress.
• Create a safe, inclusive classroom environment that promotes proactive security thinking.
• Support learners in developing confidence in digital incident handling.

Compliance and Reporting

• Comply with all WSQ and FirstCom Academy standards and regulations.
• Report any issues related to assessment integrity or compliance.
• Stay updated with evolving cybersecurity trends, tools, and incident response frameworks.

Collaboration and Teamwork

• Collaborate with curriculum team to continuously enhance the course.
• Share feedback and best practices with peers and operational teams.

Requirements

Mandatory

• ACTA or ACLP certification
• Experience with AI content tools like ChatGPT, Midjourney, DALL·E, or similar
• Strong understanding of how to structure and optimize prompts for different output goals
• Ability to translate complex AI concepts into simple, actionable techniques

1. Prompt Engineering Specialist

Ideal for those with deep technical knowledge of LLMs, generative AI, and productivity workflows

Additional Requirements:

• Strong grasp of prompt templates, modifiers, and context tuning
• Familiar with generative AI use cases in marketing, writing, design, and automation
• Able to explain differences across platforms (e.g. GPT-4 vs Claude vs Gemini)
• Bonus: Experience with API-based prompt deployment or LangChain / AI workflow automation tools

2. AI Visual Trainer with Photography Background

Ideal for photographers or creatives who now use AI tools to produce commercial-grade images

Additional Requirements:

• Background in photography, visual design, or film
• Strong understanding of lighting, angles, color theory, and composition
• Able to explain how visual principles influence AI-generated results
• Experience using image-generation platforms (e.g., Midjourney, DALL·E, Leonardo AI)
• Bonus: Familiarity with CapCut, Canva, or Adobe tools for post-processing

Personal Attributes

• Passionate about the intersection of AI, creativity, and education
• Adaptable, forward-thinking, and enthusiastic about emerging technology
• Patient and supportive educator who thrives on helping others master new tools

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will :

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications :

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration :

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

**We help the world run better**
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
***SAP will be prioritizing candidates with full working rights in Singapore***
**About SAP**
A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it's the best-run businesses that make the world run better and improve people's lives. At SAP, we build breakthroughs, together.
**About SAP Labs Singapore**
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.
SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.
**Your future team**
As part of the SAP Labs Singapore, the Artificial Intelligence team has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on the SAP Document AI service, an intelligent document processing solution serving thousands of customers worldwide. You will address real-world challenges in training deep learning models, prompt engineering and finetuning of LLMs, model deployment and monitoring. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.
**Purpose and objectives**
As an Associate AI Scientist you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.
**What you'll do**
+ Design, develop, and validate machine learning models for document information extraction, optical character recognition and layout analysis.
+ Build and maintain scalable training pipelines for machine learning workflows focused on document processing.
+ Collaborate with data engineers on the creation of high-quality annotated datasets, including defining annotation schemas and guiding synthetic data strategies.
+ Experiment with state-of-the-art NLP and computer vision techniques for document understanding, contributing to research projects and translating research into product features
+ Optimize models for accuracy, efficiency, and scalability across cloud-based production environments.
+ Work closely with engineering teams teams to ensure seamless model deployment and monitoring.
+ Stay current with advancements in AI and rapidly apply new techniques to improve model performance and coverage.
+ Contribute to a culture of experimentation, documentation, and reproducibility in applied machine learnin
**What you bring**
**Required**
+ Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
+ 0-3 years of experience in applied research or software development, preferably in AI or cloud-based applications.
+ Solid understanding of machine learning fundamentals and MLOps
+ Practical experience with training deep learning models, prompt engineering and LLM finetuning.
+ Proficiency in at least two programming languages, preferably Python and Java.
+ Strong problem-solving mindset and motivation to deliver customer value.
+ Excellent written and verbal communication skills in English
**Optional**
+ Hands-on scripting experience (e.g., bash).
+ Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
+ Operational familiarity with Linux systems (Red Hat, Ubuntu, etc.).
+ Skills in modern web development (JavaScript, HTML5, CSS)
+ Experience with cloud platforms such as SAP BTP, AWS, Azure, or GCP.
+ Experience working in Agile/Scrum teams.
Job Segment: Developer, Cloud Applications, Cloud Operations, Machine Learning, Artificial Intelligence, Data science development
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 431228 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business - Training & Simulation Systems

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact

Train better and smarter – as a Senior Engineer working on AI in Training and Simulation, you will play a pivotal role in transforming training by leveraging advanced algorithms and machine learning techniques to create more efficient training experiences. Successful candidate for this role will have the opportunities to work on many challenging use cases across a while range of AI technologies.

Be Part of Our Success

• Develop Proof of Concepts (POCs) for AI-related projects, including but not limited to:Large Language Models (LLM)
  Agentic AI
  Automatic Speech Recognition (ASR)
  Computer Vision
• Conduct research and stay updated with the latest advancements in AI and machine learning.
• Design, implement, and evaluate algorithms and models.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Document and present findings, methodologies, and results to stakeholders.
• Work independently to solve complex problems and drive projects to completion.

Qualities We Value

• Proven experience in AI and machine learning projects.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
• Experience with developing and deploying AI models.
• Knowledge of natural language processing, computer vision, and speech recognition technologies.
• Excellent problem-solving skills and the ability to work independently.
• Strong communication skills and the ability to present technical information clearly.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

**We help the world run better**
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
***SAP will be prioritizing candidates with full working rights in Singapore***
**About SAP**
A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it's the best-run businesses that make the world run better and improve people's lives. At SAP, we build breakthroughs, together.
**About SAP Labs Singapore**
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.
SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.
**Meet your team**
As part of the SAP Labs Singapore, the Artificial Intelligence team has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on the SAP Document AI service, an intelligent document processing solution serving thousands of customers worldwide. You will address real-world challenges in ML engineering in data management and data synthesis, training automation, model deployment and monitoring. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.
Purpose and objectives
As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.
Applicants with relevant experience may be considered for AI Developer role.
**What you'll do**
Your tasks include:
+ Build and maintain scalable data pipelines for machine learning workflows focused on document processing.
+ Manage large-scale structured and unstructured data assets, ensuring quality and readiness for training.
+ Develop tools for data annotation and synthetic data generation to support model development.
+ Support model training, validation, and deployment for document classification, extraction, and layout analysis.
+ Monitor and improve model performance through continuous evaluation and retraining.
+ Automate ML and data workflows for efficiency and reliability in cloud environments.
+ Translate business requirements into effective ML solutions with measurable outcomes.
+ Collaborate with cross-functional teams and stakeholders to align data and model strategies.
+ Ensure integration quality and operational readiness across global SAP environments.
+ Quickly learn domain-specific document types and adapt to evolving AI technologies.
**What you bring**
Required
+ Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
+ 0-3 years of experience in software development, preferably in AI or cloud-based applications.
+ Solid understanding of computer science fundamentals, including algorithms, data structures, object-oriented design, and software architecture.
+ Understanding of machine learning fundamentals, pipelines, and data lifecycle management.
+ Practical experience with ML or data processing frameworks (e.g., PyTorch, Spark).
+ Proficiency in at least two programming languages, preferably Python and Java.
+ Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
+ Strong problem-solving mindset and motivation to deliver customer value.
+ Excellent written and verbal communication skills in English.
Optional
+ Hands-on scripting experience (e.g., bash).
+ Skills in modern web development (JavaScript, HTML5, CSS)
+ Operational familiarity with Linux systems (Red Hat, Ubuntu, etc.).
+ Experience with cloud platforms such as SAP BTP, AWS, Azure, or GCP.
+ Experience working in Agile/Scrum teams.
Job Segment: Developer, Cloud Applications, Cloud Operations, Machine Learning, Artificial Intelligence, Data science development
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 423420 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts

AI Singapore is sourcing for a diligent and detail-oriented Program Manager to join the AI Talent Development team in AI Singapore. This role is critical to the successful delivery of AI Talent Development programs and initiatives through robust project oversight, grant administration and compliance, and procurement support

The ideal candidate is highly organized and comfortable using data tools to monitor processes and recommend operational improvements, and well-versed in procurement and grant procedures within Singapore's higher education ecosystem

Duties & Responsibilities

• Manage funding paperwork and processes in accordance with AI Singapore's hosting institution policies.
• Coordinate with internal and external stakeholders to ensure timely and compliant procurement and documentation.
• Support grant administration, including submission, processing, usage tracking and other metrics in compliance with funding terms and conditions.
• Prepare and consolidate programme and financial reports for funders, ensuring alignment with KPIs and reporting deadlines.
• Assist with general team operations such as internal coordination and scheduling, and documentation.
• Provide contracting support to the partnerships team, including preparation of NDAs, agreements, and coordination with legal review and clearance.

Qualifications

• Bachelor's degree in business administration or related fields.
• 2-5 years of relevant experience in procurement, grant administration, or programme coordination.
• Meticulous, organised, and disciplined in documentation and process management.
• Track record of skills in data analysis and reporting with current software and tools
• Able to work collaboratively in a cross-functional team environment.
• Familiarity with procurement processes in public or higher education institutions is a strong advantage.

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 29327

#J-18808-Ljbffr

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore’s AI efforts

AI Singapore is looking for a proactive, detail-oriented, and resourceful Executive / Senior Executive to join the AI Talent Development team. This role plays a key part in driving the successful implementation of national and regional AI education initiatives through strong project management, strategic marketing, and effective stakeholder coordination.

The ideal candidate is a hands-on problem-solver who thrives in a fast-paced environment, with a proven ability to manage complex programmes, craft compelling outreach strategies, and foster strong partnerships to drive meaningful and measurable outcomes

Duties & Responsibilities

1. Programme Management
• Collaborate with internal and external stakeholders to achieve programme goals, outcomes, and success metrics.
• Support the planning and implementation of innovative, high-impact programmes across diverse audience segments.
• Oversee day-to-day execution to ensure programmes meet delivery timelines and quality standards.
• Support procurement processes, including sourcing vendors, requesting quotations, and coordinating with suppliers

2. Marketing and Outreach
• Develop and implement comprehensive marketing strategies to drive programme awareness and participation.
• Create compelling outreach content and promotional materials tailored to different target audiences.
• Leverage a mix of digital, social, and traditional media channels to maximise reach and engagement

3. Stakeholder Management
• Serve as the primary point of contact for internal teams, partners, and programme participants.
• Build and maintain positive working relationships, providing timely and professional responses to enquiries.
• Collect and consolidate data and feedback from various programmes to support reporting, continuous improvement, and impact communication.

Qualifications

• Diploma or Bachelor's degree in any discipline, or equivalent relevant experience.
• Minimum 1 year of relevant experience; experience in government, technology, or education sectors is preferred.
• Proven track record in event planning, programme execution, and marketing communications.
• Excellent project management, communication, and interpersonal skills.
• Strong analytical and critical thinking abilities.
• Familiarity with AI, education, or innovation-related initiatives is a plus.
• Comfortable working in a dynamic, fast-paced, and start-up-like environment.