684 AI Architects jobs in Singapore
AI Solutions Architect
Posted today
Job Viewed
Job Description
Job ID: 19556
Location:
Elect – 100 Jurong East Street, SG
Description:
The Company - ST Engineering Group Engineering Center
At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group. Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments. As the Group Engineering Center, we aim to transform the use of technology across all of ST Engineering businesses and push the boundaries of what is possible in the realm of AI to create transformative solutions that impact industries worldwide.
Job Brief (Full-Time)
We are looking for a versatile professional to bridge AI innovation with client engagement. This role combines presales activities such as understanding customer challenges, developing proposals, and showcasing AI capabilities, together with the technical expertise to drive prototyping of AI-driven solutions with the AI team.
The ideal candidate must be technically competent while equally comfortable presenting to senior business stakeholders and building hands-on prototypes with modern AI frameworks. This is a strategic role that directly influences client adoption while shaping the early design of scalable AI solutions.
Responsibilities
AI Prototyping & Exploration
- Solution Design & Ideation: Translate client problem statements into technical hypotheses and conceptual AI architectures. Identify opportunities for applying LLMs, RAG pipelines, and multi-agent frameworks to specific business needs.
- Rapid Prototyping: Be able to work with AI team to build proof-of-concepts and demos using state-of-the-art external (e.g., LangChain, LlamaIndex, Hugging Face, vector databases) and in house frameworks. Showcase functionality quickly to validate business value and feasibility.
- Experimentation & Benchmarking: Evaluate different LLMs (GPT, Claude, Llama, Mistral, etc.) and architectures for accuracy, latency, scalability, and cost efficiency. Conduct A/B testing and fine-tuning to optimize results.
- Data Handling & Integration: Design lightweight data pipelines for ingestion, preprocessing, and embedding generation. Work with structured and unstructured data sources to enable retrieval-augmented generation (RAG) and knowledge mining.
- Workflow Engineering: Develop agentic workflows that combine reasoning, retrieval, and tool usage. Prototype orchestration layers for decision-making tasks, simulations, or automation of multi-step processes.
- Evaluation & Governance: Define metrics and perform validation on prototype outputs for reliability, robustness, and alignment with responsible AI practices (bias, explainability, transparency).
- Documentation & Knowledge Transfer: Capture design decisions, experiment results, and prototype architecture. Provide clear technical documentation for internal stakeholders and delivery teams.
- Transition to Delivery: Collaborate with engineering and product teams to convert successful prototypes into scalable solutions ready for production deployment. Provide presales technical handover to ensure client expectations are met.
Presales & Client Engagement
- Engage with potential clients to uncover pain points and translate them into AI use cases.
- Lead discovery sessions and solution workshops with internal and external stakeholders.
- Develop proposals, pitch decks, and demos that highlight business value through Generative AI.
Requirements
- Bachelor's or Master's in Computer Science, AI, Data Science, Business, or related fields.
- Strong technical grounding in LLMs, NLP, and Generative AI. Experience with RAG, agentic workflows, and open-source AI frameworks preferred.
- Proven experience in client-facing roles such as presales, solution consulting, or technical evangelism.
- Excellent communication and presentation skills, capable of translating complex AI concepts into business value propositions.
- Proficiency in Python and modern AI prototyping tools (LangChain, Hugging Face, vector databases such as FAISS/Chroma/Weaviate).
- Familiarity with Agile project methodologies and project tracking tools (e.g., Jira, Confluence).
- Exposure to cloud AI platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus.
- Certifications in AI, ML, or project management (e.g., AWS ML Specialty, TensorFlow Developer, PMP) are an advantage.
What we offer
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge generative AI projects that directly impact business innovation.
- Join a young and dynamic team with forward-looking working culture that fosters innovation, collaboration, and personal growth.
- Access to cutting-edge technology resources, opportunities for continuous learning and skill development.
Apply now if you are excited to use Generative AI to bring ideas to life and shape the future of intelligent solutions.
AI Solutions Architect
Posted today
Job Viewed
Job Description
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.
AI Solutions Architect
Posted today
Job Viewed
Job Description
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.
AI Solutions Architect
Posted today
Job Viewed
Job Description
We are seeking an expert in the field of artificial intelligence to support the development and deployment of machine learning solutions. The successful candidate will collaborate closely with clients and project teams to design, build, and maintain scalable AI systems addressing complex business challenges.
Main Responsibilities:
- Research and design AI applications
- Collaborate with clients and data engineers to translate business needs into AI solutions
- Build end-to-end machine learning applications
- Integrate AI models into existing applications and workflows
Requirements:
- Bachelor's degree in Information Technology or related field
- 1-3 years of experience in AI/ML software engineering roles
- Understanding of ML lifecycle concepts
- Strong proficiency in SQL and Python programming languages
- Experience with ML frameworks such as TensorFlow and OpenCV
- Familiarity with Google Cloud Platform services for AI/ML
- Ability to work independently and in teams
Key Skills:
- TensorFlow
- Machine Learning
- Big Data
- OpenCV
- Google Cloud Platform
- Artificial Intelligence
- Software Engineering
- Information Technology
- SQL
- Python
- Research Design
About This Role:
This is an excellent opportunity for a skilled AI engineer to join our team and contribute to the development of innovative AI solutions. If you have a passion for AI and machine learning, we encourage you to apply for this exciting role.
AI Solutions Architect
Posted today
Job Viewed
Job Description
Job Description
We are seeking a highly skilled AI Solutions Architect to join our team. As an AI Solutions Architect, you will be responsible for designing and developing end-to-end AI solutions that drive business value.
You will work closely with cross-functional teams to understand client needs and develop customized AI solutions that meet their specific requirements. Your expertise in AI/ML technologies will enable you to design scalable and maintainable architectures that can handle large-scale data sets.
Key Responsibilities:
- Design and develop end-to-end AI solutions using Python and core AI/ML libraries such as scikit-learn, TensorFlow, and PyTorch.
- Work with clients to understand their business challenges and develop customized AI solutions that meet their needs.
- Collaborate with internal teams to ensure seamless integration of AI prototypes into the full development lifecycle.
- Continuously research and evaluate the latest AI advancements to stay up-to-date with industry trends.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.
- Experience in AI/ML solution design, data science, or AI engineering with a significant portion in a client-facing or consulting capacity.
- Expert proficiency in Python and extensive experience with core AI/ML libraries.
- Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain.
- Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML.
- Proficiency with Docker for containerization and a foundational understanding of container orchestration.
- Solid understanding of MLOps principles for reproducibility, experiment tracking, and model versioning.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- A dynamic and collaborative work environment.
About Us:
We are a leading provider of AI solutions and services. Our team is passionate about delivering innovative AI solutions that drive business value for our clients.
AI Solutions Architect
Posted today
Job Viewed
Job Description
This role will focus on designing and developing cutting-edge AI-driven solutions for the gaming industry.
Key Responsibilities:- Design, implement and optimize rewards-based agents using Reinforcement Learning (RL) to test gaming applications.
- Develop advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
- Collaborate with game developers, designers and software engineers to integrate AI models into game development workflows.
- Build and optimize AI-powered gaming tools enabling developers to create more immersive and dynamic player experiences.
- Strong background in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation.
- Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
- Experience with game engines such as Unity and Unreal Engine is beneficial.
- Familiarity with LLMs, transformers, diffusion models and self-learning AI systems.
As an Advanced AI Solutions Developer, you will have the opportunity to work with a talented team of professionals in the gaming industry. You will also be able to develop your skills and expertise in AI-driven solution development.
What We Offer:We offer a competitive salary, comprehensive benefits package and opportunities for career growth and development.
AI Solutions Architect
Posted today
Job Viewed
Job Description
As a senior AI engineer, you will play a pivotal role in designing and delivering cutting-edge AI/ML solutions that drive business growth and innovation.
- ">
- Develop enterprise-grade AI/ML solutions that integrate seamlessly with existing technology ecosystems, ensuring scalability, security, and performance. ">
- Establish comprehensive AI governance frameworks that address compliance, model risk, ethics, transparency, and explainability. ">
- Serve as a trusted advisor to business leaders on AI strategy, emerging trends, and the long-term impact of AI on enterprise processes. ">
- Lead end-to-end development and operationalization of AI solutions, including data exploration, model development, training, validation, deployment, and lifecycle management. ">
- Oversee production operations of AI systems, covering monitoring, incident management, CI/CD pipelines, and release/change controls. ">
- Evaluate change requests, effort, and impact across business functions, technology platforms, and governance controls to ensure strategic alignment and risk mitigation. ">
- Drive continuous improvement in model performance, system reliability, and AI delivery processes through rigorous testing, automation, and adherence to engineering best practices. ">
- Collaborate with cross-functional teams to translate complex business challenges into actionable AI-driven solutions. ">
- Champion a culture of technical excellence and knowledge sharing by mentoring peers, reviewing code, and contributing to internal AI communities of practice. ">
Strong background in AI/ML, software engineering, and cloud computing.
">Proven expertise in designing and developing scalable, secure, and high-performance AI/ML solutions.
">Experience with AI governance frameworks, model risk, ethics, transparency, and explainability.
">Strong communication and interpersonal skills, with ability to work effectively with business stakeholders and technical teams.
">Benefits ">Opportunities for professional growth and development in a dynamic and innovative environment.
">Competitive salary and benefits package.
">Collaborative and supportive team culture.
">Others ">Other duties may be assigned as required.
":Be The First To Know
About the latest Ai architects Jobs in Singapore !
AI Solutions Research
Posted today
Job Viewed
Job Description
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
AI Solutions Designer
Posted today
Job Viewed
Job Description
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.
- Design and implement AI-powered automation solutions using emerging AI/LLM technologies.
- Apply cloud best practices to build secure, scalable, and efficient deployments.
- Collaborate with clients to shape AI strategies, run discovery sessions, and deliver proofs-of-concept.
- Customize solutions using APIs, SDKs, and programming languages (Python, Java, .NET).
- Mentor colleagues and ensure compliance with security and regulatory standards.
- You will thrive in this role if you are both a strategic thinker and hands-on architect, capable of influencing at all levels while building cutting-edge solutions.
- You will bring:
- 10+ years of experience in Gen AI solution architecture or enterprise automation;
- proven expertise in LLMs, NLP, computer vision, and intelligent automation platforms;
- strong technical skills in cloud deployments, APIs, and programming;
- ability to engage and influence both technical teams and executive stakeholders;
- strategic mindset with a track record of delivering business transformation through AI.
This is an exciting opportunity for a talented professional to join our team and contribute to the development of innovative AI solutions.
Required Skills and Qualifications- Master's degree in Computer Science, Engineering, or related field;
- Proven experience in AI solution architecture or enterprise automation;
- Expertise in LLMs, NLP, computer vision, and intelligent automation platforms;
- Strong technical skills in cloud deployments, APIs, and programming;
- Excellent communication and project management skills.
We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
Why Choose UsWe are a dynamic and innovative organization that values creativity, collaboration, and continuous learning. Our team is passionate about developing cutting-edge AI solutions that drive business value and transform industries.
Ai Solutions Developer
Posted today
Job Viewed
Job Description
Job Opportunity
We are seeking fresh graduates to join our team as AI Solutions Developers with a focus on Artificial Intelligence. This role offers an excellent opportunity to gain hands-on experience in AI technologies, software development, and client consulting while contributing to real-world projects.
About the Role
- Collaborate with clients and internal teams to gather and analyze requirements for AI/ML solutions.
- Design, develop, and deploy AI/ML solutions, including predictive models, NLP applications, and computer vision projects.
- Assist in integrating AI solutions into client systems and software applications.
- Support data preparation, model training, and evaluation processes.
- Participate in software development lifecycle activities: coding, testing, and documentation.
- Present findings, solutions, and insights to clients in a clear and professional manner.
- Continuously learn and stay updated on AI trends, tools, and best practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or related fields.
- Strong interest in AI/ML, data analytics, and software consulting.
- Basic programming skills in Python, Java, or C++; experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn is a plus.
- Understanding of data structures, algorithms, and software development principles.
- Good problem-solving and analytical skills.
- Strong communication skills and ability to work in teams.
- Eagerness to learn and adapt in a fast-paced environment.