679 AI Solutions jobs in Singapore

About Us:

We are a forward-thinking organisation in the property market on a mission to become a market leader by leveraging AI to transform operations and elevate customer experiences.

Job Description:

We are looking for an innovative and proactive AI Solutions Research & Implementation Officer to join our team. In this role, you will identify, evaluate, and implement AI tools and technologies that optimize daily operations, improve productivity, and enhance business outcomes. Your insights and guidance will help position our company as a leader in AI-driven real estate solutions.

Key Responsibilities:

• Conduct in-depth research to identify AI tools, platforms, and emerging technologies relevant to real estate operations.
• Assess feasibility, ROI, and operational impact of AI solutions to prioritize implementation.
• Collaborate with marketing, sales, operations and IT teams to identify areas where AI can improve efficiency, engagement, and conversion.
• Implement pilot projects to test AI-driven campaigns, chatbots, recommendation engines, and workflow automation.
• Design and lead pilot projects to test AI applications.
• Monitor industry trends to ensure the company remains at the forefront of AI adoption.
• Train and guide staff on the effective and ethical use of AI tools.
• Work closely with IT and operations teams to integrate AI solutions securely and seamlessly into existing systems.

Required Skills & Qualifications:

• Higher Nitec Certificate, Diploma or Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
• Strong understanding of AI technologies, including machine learning, automation, and workflow optimization.
• Proven experience in evaluating, piloting, and implementing AI solutions.
• Excellent analytical, problem-solving, and research skills.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Ability to manage multiple projects independently.
• Experience with cloud platforms, APIs, and enterprise software integration is a plus.
• Fresh graduates are welcome

About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn.

Our Vision
At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive.

As an AI Solutions Consultant at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs.

Providing hands-on consulting and technical expertise for customer engagements will be central to your role. You'll collaborate with Neo4j's most strategic customers on projects that revolutionize their businesses. You'll also collaborate with key Neo4j cloud partners to deliver joint consulting services, offering technical guidance and best practices.

Key Responsibilities
Solution Architecting:

• You will work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement.
• You will propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices.
• You will work directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges.
• You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes.

Solution Engineering

• You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems.
• Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge.

Education & Enablement

• You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
• You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.
• Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.

Required Qualifications

• Enterprise Application Development: 5+ years of experience in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles.
• LLM Proficiency: 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI's GPT and O families, Anthropic's Claude family, Google's Gemini, xAI's Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral).
• Programming Proficiency: Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#. Ability to write clean, maintainable, and efficient code is essential.
• Deployment and Version Control: Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN.
• Cloud Computing Expertise: Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments.
• Generative AI Ecosystem Knowledge: Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).
• Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL).
• Graph Database Expertise: Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog).
• Communication and Collaboration Skills: Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships.
• Problem-Solving and Analytical Abilities: Strong analytical and problem-solving abilities to address complex technical challenges and design effective AI solutions.
• You will have the ability to travel up to 50% of the time for customer engagements.

We are seeking a highly skilled individual to lead the development of innovative AI solutions, collaborating with clients and internal teams to gather and analyze requirements.

• Design and deploy AI/ML solutions, including predictive models, NLP applications, and computer vision projects.
• Integrate AI solutions into client systems and software applications, ensuring seamless functionality and scalability.
• Support data preparation, model training, and evaluation processes, utilizing machine learning algorithms and statistical models to drive business outcomes.
• Present findings, solutions, and insights to clients in a clear and concise manner, leveraging technical expertise and excellent communication skills.

• Strong background in Computer Science, Data Science, Artificial Intelligence, or related fields.
• Proven experience with AI/ML frameworks, including TensorFlow, PyTorch, and scikit-learn.
• Excellent programming skills in Python, Java, or C++.
• Understanding of data structures, algorithms, and software development principles.
• Good problem-solving and analytical skills, with ability to work independently and collaboratively as part of a team.

We are seeking a seasoned Enterprise AI Solutions Architect to design and deliver cutting-edge AI-powered automation solutions. This individual will play a pivotal role in shaping AI strategies, guiding clients through digital transformation, and ensuring solutions are scalable, secure, and future-ready.