703 AI Architects jobs in Singapore

We are seeking an Artificial Intelligence Team Lead to spearhead the development and implementation of AI solutions.

• This role will oversee a team of AI Engineers, providing guidance on technical knowledge, project management, execution, problem solving, and communication with internal and external stakeholders.
• The successful candidate will work closely with relevant stakeholders to manage and deliver projects from start to end.
• This position involves designing, developing, and deploying machine learning models and algorithms to solve complex business problems.
• Maintaining AI systems to ensure optimal performance, reliability, and scalability is also key.
• The ideal candidate will collect, pre-process, and analyze large datasets to train and validate AI models.
• This role requires collaboration with cross-functional teams to integrate AI solutions into existing systems.
• Staying up-to-date with the latest advancements in AI and machine learning, and implementing best practices to enhance AI capabilities is essential.

To be successful in this role, you will require a degree in Computer Science, Data Science, Machine Learning, or a related field and at least 4-5 years' experience working on AI/ML projects.

Experience leading a team of AI Engineers, proficiency in programming languages such as Python, R, or Java, and knowledge of machine learning algorithms, techniques, and libraries are must-haves.

We are seeking a highly skilled AI Solutions Architect to drive innovation in the maritime sector. The ideal candidate will leverage cutting-edge AI technologies to design and implement complex industry-specific solutions.

Key Responsibilities:

• Design and architect scalable AI/ML solutions from problem framing to production-ready deployment
• Develop strong consultative skills to identify strategic pain points solvable by AI, working closely with cross-functional teams to drive initiatives
• Build functional AI/ML prototypes with clean, modular code for production, assess data readiness, identify data gaps, and recommend robust data governance frameworks
• Translate complex technical concepts into clear business value, leveraging excellent communication and presentation skills

Candidates must have a deep understanding of diverse business models, strong sales skills, and expertise in Python and core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

The successful applicant will have hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain. Prior experience with Google Cloud Platform services relevant to AI/ML is highly advantageous.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field (Master's or Ph.D. preferred)
• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering
• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production
• Expert proficiency in Python and extensive experience with core AI/ML libraries
• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs)

• Rapidly evaluate and adapt pretrained models, third-party APIs, and open-source frameworks
• Prototype, validate, and ship solutions tailored to product needs, including both music/audio-specific use cases and general ML applications

• Package models into containerized services (Docker) and expose them via REST/gRPC APIs
• Integrate ML services with production backends in collaboration with software engineers
• Ensure reliability, fault-tolerance, and observability of deployed models in production

• Design and maintain end-to-end MLOps pipelines for training, versioning, deployment, and monitoring
• Manage deployments on cloud platforms (AWS, GCP, Azure) using orchestration tools like Kubernetes

• Monitor and optimize model inference for low latency and high throughput
• Investigate techniques for efficient on-device ML, especially for mobile and web
• Troubleshoot infrastructure and model-serving issues, ensuring consistent uptime and performance

• Work closely with ML researchers, software engineers, and product teams to align on goals and ensure smooth handoffs
• Collaborate closely with backend engineers to ensure seamless integration of ML systems within existing infrastructure
• Write clear, maintainable documentation for model APIs, deployment processes, and pipelines

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• At least 2+ years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning
• Strong Python programming skills and experience with ML libraries such as PyTorch or TensorFlow
• Hands-on experience with Docker and building RESTful or gRPC APIs
• Familiarity with cloud services (AWS, GCP, or Azure) and orchestration platforms like Kubernetes

• Experience with model hubs like Hugging Face or TensorFlow Hub
• Experience with model optimization, conversion, and export using ONNX and ONNX Runtime for deployment across diverse runtime environments
• Working knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI)
• Strong interest or background in music - composition, production, theory, or music/audio signal processing

Overview: We are seeking a highly skilled and experienced Educational Technologist to join our team. The successful candidate will be responsible for developing and implementing AI solutions, conducting trainings, and supporting the Director ICT in administrative work.

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• To work with AI Office (AIO) in training and development of the in-house LLM platform;
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• To work with AIO and IT Department in developing the client-facing dashboard for the in-house LLM;
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• To develop and conduct trainings on AI solutions directed by the Director (ICT);
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• To support Director ICT in performing administrative work related to the development of AI solutions, including approval for funding, safety compliance, Invitation to Tender, Invitation to Quote, documentation of solution development;
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• To work with Director (ICT) in planning technology-related programs annual curriculum and Scheme of Work (SOW);
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• To prepare teaching material for the curriculum of assigned technology-related programs; To conduct lessons during technology-related program according to curriculum and SOW;
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• To conduct assessments and grading of students' work/projects as part of their fulfillment of Technology Program's and ACMP's requirements;
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• To plan and manage programs in reACtor in alignment to directions provided by Director (ICT);
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• To assist in ensuring safe and proper use of reACtor by teachers and students;
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• To assist in ensuring operational readiness of equipment in reACtor;
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• To provide mentorship to students for technology-related projects or competitions; and
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• To provide other necessary support related to learning of technology.
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Requirements:

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• Bachelor's degree in a relevant discipline, such as ICT, Software Engineering, Application Design etc;
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• Preferably 2 years working experience in related field;
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• Teaching experience in any technology-related programs will be an added advantage;
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• Possess knowledge in the following areas: 3D-printing, Fusion 360, Knowledge in Design Thinking Process, Electronics, e.g. sensors, electrical and electronics circuitry, simple motors, etc, Micro:bit and Arduino microprocessors, Programming will be a bonus, Training and development of LLM, App development (preferably on SDK platform).
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Singtel is transforming its business with a new strategic shift in focus on Artificial Intelligence & Data Analytics. This ambitious undertaking aims to scale AI ambitions with precision and purpose.

This role offers exposure to end-to-end AI systems, from data ingestion and model deployment to API integration and secure operations. As an AI Solution Specialist, you will support the design and implementation of AI solutions across Singtel, working closely with senior architects, engineering teams, and stakeholders.

• Design AI solutions that support enterprise needs, including data pipelines, API workflows, and cloud-based model deployment
• Implement components of the AI platform, such as model registries, runtime environments, and tool integrations under guidance
• Support API integration efforts between AI services and platforms using RESTful and event-driven patterns
• Participate in developing and testing AI/ML workflows on Azure ML, AI Foundry, or AWS SageMaker
• Document solution designs, architectural decisions, integration flows, and deployment procedures
• Evaluate and recommend AI platforms and tools based on enterprise goals and technical fit
• Collaborate with data engineers, MLOps, and software teams for smooth delivery of AI features and services
• Contribute to proof-of-concepts (PoCs), technical evaluations, and prototyping efforts under supervision
• Stay current with AI technologies and best practices in integration, model lifecycle management, and platform operations

You are responsible for:

• Designing and integrating end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments
• Developing and testing AI/ML workflows on various platforms
• Collaborating with cross-functional teams for smooth delivery of AI features and services
• Staying current with emerging technologies and industry trends

Job Title: AI Solutions Strategist

Job Description:

We are seeking a highly skilled AI solutions strategist to play a key role in implementing AI-powered cybersecurity applications for large-scale government initiatives.

As an AI solutions strategist, you will collaborate with multidisciplinary teams to design, develop, and deploy intelligent data solutions that enhance the nation's cybersecurity ecosystem.

Responsibilities:

We are seeking a skilled AI professional to join our team. As an AI Engineer, you will be responsible for designing, developing, and deploying AI solutions that meet the needs of our clients.

This role requires a strong understanding of AI/ML principles, as well as experience with leading AI technologies such as TensorFlow, PyTorch, and Keras. Additionally, you should have excellent analytical and problem-solving skills, as well as the ability to explain complex technical concepts clearly.

You will work closely with senior engineers and solution architects to support the design and development of AI solutions. This includes assisting in the design and development of chatbots and virtual assistants, supporting automation workflows using code-based and no-code tools, configuring and fine-tuning large language models (LLMs) for client use cases, contributing to prompt engineering and conversational design, integrating APIs and AI services into client systems, participating in client workshops and technical discussions, documenting implementation steps and assisting in testing and QA.

In addition to your technical skills, you should have a passion for learning and growing in AI, as well as strong communication abilities. You should also be open to feedback and continuous improvement.

As a member of our team, you will have the opportunity to work on impactful real-world projects, develop your skills in leading AI technologies, and receive mentorship from seasoned AI professionals. You will also have access to learning and development resources, flexible work arrangements, and a competitive salary and benefits package.

• TensorFlow
• Machine Learning
• Process Automation
• Artificial Intelligence
• Keras
• Mentorship
• Good Communication Skills
• Python

The role of AI Solution Developer plays a key part in the development and implementation of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and/or Computer Vision.

This developer will possess strong programming skills and hands-on experience in building AI solutions and services. Proficiency in developing RESTful APIs, designing database schemas, and working on web front-end development is particularly valued.

• Study, evaluate, and apply AI technologies developed by NEC Labs overseas.
• Develop AI solution capabilities, including Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and/or Computing Vision.
• Participate in proof-of-concept (PoC) and trial projects with customers.
• Promote the company at exhibitions and conferences.
• Contribute to the invention and patent filing of AI technologies and develop practical solutions based on these innovations.

• Bachelor's degree in computer science, engineering, or a related field, with a focus on generative AI, deep learning, or computer vision.
• A minimum of 2 years of hands-on programming experience in Core Java, C++, and/or Python, minimally in developing RESTful APIs for AI service integration.
• Familiarity with RDBMS such as PostgreSQL, and vector databases.
• Strong understanding of object-oriented design, software development best practices, and familiarity with version control systems and container technologies such as Docker.
• Self-motivated and proactive, with a demonstrated ability to take initiative and drive projects to completion.

• Candidates should have excellent problem-solving skills and be able to communicate effectively with cross-functional teams.
• We are looking for individuals who are passionate about innovation and eager to learn and grow with our organization.

We are looking for a talented and driven AI Solutions Engineer to join our team at the intersection of AI and music.

In this role, you'll operationalize cutting-edge ML models, ranging from in-house architectures to state-of-the-art open-source tools and LLMs, to build both music-driven applications and broader AI-powered experiences.

You will serve as a key bridge between ML research and backend engineering, deploying scalable, real-world systems that power intelligent tools across music and broader machine learning domains. Your responsibilities will span model adaptation, deployment, MLOps pipeline design, and performance optimization across cloud and edge environments.

Key Responsibilities

As an AI solutions engineer, you will work on a range of challenges. Some will be uniquely grounded in music and audio, while others will involve more general-purpose machine learning systems that support broader company initiatives.

Model Research & Adaptation

• Rapidly evaluate and adapt pretrained models, third-party APIs, and open-source frameworks
• Prototype, validate, and ship solutions tailored to product needs, including both music/audio-specific use cases and general ML applications

Deployment & Integration

• Package models into containerized services (Docker) and expose them via REST/gRPC APIs
• Integrate ML services with production backends in collaboration with software engineers
• Ensure reliability, fault-tolerance, and observability of deployed models in production

MLOps & Infrastructure

• Design and maintain end-to-end MLOps pipelines for training, versioning, deployment, and monitoring
• Manage deployments on cloud platforms (AWS, GCP, Azure) using orchestration tools like Kubernetes

Performance & Optimization

• Monitor and optimize model inference for low latency and high throughput
• Investigate techniques for efficient on-device ML, especially for mobile and web
• Troubleshoot infrastructure and model-serving issues, ensuring consistent uptime and performance

Cross-functional Collaboration

• Work closely with ML researchers, software engineers, and product teams to align on goals and ensure smooth handoffs
• Collaborate closely with backend engineers to ensure seamless integration of ML systems within existing infrastructure
• Write clear, maintainable documentation for model APIs, deployment processes, and pipelines

Skills, Knowledge and Expertise

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• At least 2+ years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning
• Strong Python programming skills and experience with ML libraries such as PyTorch or TensorFlow
• Hands-on experience with Docker and building RESTful or gRPC APIs
• Familiarity with cloud services (AWS, GCP, or Azure) and orchestration platforms like Kubernetes

Preferred qualifications

• Experience with model hubs like Hugging Face or TensorFlow Hub
• Experience with model optimization, conversion, and export using ONNX and ONNX Runtime for deployment across diverse runtime environments
• Working knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI)
• Strong interest or background in music — composition, production, theory, or music/audio signal processing