527 AI Architects jobs in Singapore

We are seeking a skilled AI leader to design, develop and deploy employee-facing AI solutions. The ideal candidate will have expertise in autonomous agents, adaptive learning systems and deep understanding of AI technologies.

• Lead the design, development and deployment of employee-facing AI solutions.
• Architect end-to-end AI systems incorporating Agentic AI principles to enable autonomous decision-making and adaptive intelligence.
• Collaborate with AI engineers, Product Owners and stakeholders to translate complex AI concepts into practical, scalable applications.
• Provide mentorship and technical leadership to AI and engineering teams.
• Monitor product performance and user feedback to optimize the solution and improve user experience.
• Build for scale by staying updated with latest advancements in technology, including generative AI, reinforcement learning, large language models, multi-agent systems and ethical AI practices.
• Identify employees' latent pain points or productivity needs that can be solved through AI.
• Break barriers for AI tool adoption by working collaboratively with technical vendor partners and internal teams.
• Deliver product improvements on SunnyBot to enhance employee productivity.
• Drive adoption of AI capabilities for personal productivity.
• Conduct training sessions across all business units to support users on relevant functional use cases addressed through AI.
• Participate in prioritization discussions for use cases or features identified as AI related.
• Plan and coordinate UAT for new product features.

Requirements:

• Bachelor's or master's degree in computer science, artificial intelligence or related discipline.
• Experience in participating in IT delivery projects, including management of product lifecycle from ideation to deployment.
• Proven expertise in Agentic AI concepts, including autonomous agent design, goal-oriented behavior and adaptive learning systems.
• Deep understanding of AI technologies, including NLP, computer vision, generative models, reinforcement learning and multi-agent systems.
• 3+ years' experience with ML frameworks (such as TensorFlow, PyTorch).
• 2+ years' experience with Azure Open AI, chatbot architecture components, RAG framework.
• APIs - understanding of framework and security.
• Microsoft Copilot – understanding of Orchestration with AI Agents, Copilot Studio.
• Power Automate/Power Apps: fully competent.
• Experience designing scalable, cloud-native AI architectures (AWS, Azure, GCP).
• Previous experience in an international context, working with diverse multifunctional teams.

Why Choose Us:

This is a unique opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions.

We're seeking an expert in machine learning to drive innovation and growth through the development of cutting-edge AI solutions.

• Design, implement, and deploy large-scale machine learning models to address complex financial challenges.
• Apply advanced data analysis techniques to extract valuable insights from large datasets.
• Utilize machine learning algorithms for predictive analytics and data-driven decision-making.
• Collaborate with cross-functional teams to integrate components into a cohesive AI pipeline.
• Analyze and interpret complex data to generate actionable recommendations.

• Bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries.
• Expertise in exploratory data analysis of large datasets.
• Familiarity with deploying large language models and various AI platforms.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.

The role of AI Solutions Lead is a customer-facing, technical leader responsible for driving revenue across a wide portfolio of enterprise customers and industries.

• Lead technical presales engagements across multiple concurrent customer opportunities.
• Develop services proposals in collaboration with other teams and customer stakeholders.
• Partner with Sales Executives, Business Development Managers, Account Managers, and Service Delivery teams to jointly develop, qualify, and advance pipeline opportunities.
• Drive innovation, efficiency process improvement opportunities, and coach sales and presales teams on AI solution positioning, capabilities, and value articulation.
• Conduct consultative discovery workshops with business and technical executives to identify AI solution opportunities and strategies.

• Design end-to-end data and AI solutions across data pipelines, data lakes, data governance, AI model pipelines, and enterprise AI platforms.
• Collaborate on AI platform designs leveraging product and partner ecosystem.
• Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance frameworks.
• Contribute field feedback to product management and service development teams to shape evolving offerings.
• Implement AI governance, model management, and AI risk frameworks in a consultative setting and related process framework.

• 15+ years of enterprise consulting, presales, or technical solution development experience.
• Exceptional presentation, proposal development, and executive storytelling capabilities.
• Understanding of security, DevSecOps, and hybrid/multi-cloud architectures.

We are seeking an experienced professional to contribute to the implementation and adoption of AI/ML solutions across our organisation. This role will support business management activities within a financial services context.

• Support the execution of AI strategy initiatives and implementation plans
• Research industry trends and use cases to contribute to strategic discussions
• Project management support of wider team initiatives including budget tracking
• Assist with business case development by gathering requirements and financial information
• Help throughout the solution lifecycle from ideation to deployment
• Track project progress and help identify potential risks
• Collaborate with cross-functional teams and help facilitate communication between technical and non-technical stakeholders
• Help ensure AI solutions comply with company policies, data governance frameworks, and financial regulations
• Assist with integrating AI solutions into existing business processes
• Support user adoption through training materials and change management activities
• Contribute to AI culture initiatives and capability building
• Architect complex Power BI dashboards that visualise AI performance metrics and business impact
• Develop custom visualisation solutions that translate complex AI insights into actionable business intelligence
• Establish and maintain robust data governance frameworks that ensure data quality, lineage, and compliance
• Create detailed budgeting models, financial forecasts, and ROI analyses for AI initiatives

We are seeking a skilled professional to support the implementation of our Machine Learning Suite. As a key member of our team, you will be responsible for ensuring that project and system design complies with our enterprise design principles, security standards, and control protocols.

• Design and implement solutions that meet business requirements and comply with our enterprise design principles.
• Develop technical documents to capture key design decisions and ensure seamless integration with interfacing applications.
• Conduct root cause analysis of issues and review new and existing code to identify areas for improvement.
• Work collaboratively with our Test Management teams to complete System Integration Testing (SIT) and User Acceptance Testing (UAT).

• End-to-end project experience in implementing Machine Learning Suites.
• Strong project management skills, including driving deliverables, tracking timelines, escalating issues, and ensuring accountability across teams.
• Experience in application architecture, development, system integration, and software design.
• Knowledge in networking, firewall configuration, data migration, password encryption, SSO integration, and disaster recovery planning.

• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.

We are a pioneering company that turns meetings and conversations into actionable insights. Our solutions use AI devices to boost productivity and save time.

Our organization is seeking a seasoned AI Solutions Developer to join our team. As a critical member of the group, you will design and develop advanced AI solutions that showcase autonomous, proactive, and adaptable behaviors.

• Assist in designing and implementing agent-based AI solutions using cutting-edge platforms like Workato Agentic AI.
• Support the development of AI-driven workflows leveraging multi-agent orchestration, automation, and integration capabilities.
• Contribute to the implementation of Retrieval-Augmented Generation (RAG) systems using Workato connectors, workflows, and recipes.
• Aid in building advanced prompting, memory handling, and workflow execution logic for large language model (LLM)-based agents.
• Troubleshoot and analyze AI workflows, integrations, and automation pipelines to ensure reliability and performance.
• Collaborate with cross-functional teams to integrate AI capabilities into existing IT frameworks and customer environments.
• Participate in customer meetings to gather requirements and support the delivery of tailored agentic AI and RAG solutions.
• Continuously monitor, test, and optimize AI workflows to enhance performance, scalability, and user experience.
• Assist in creating and maintaining technical documentation, design specifications, and best practices.
• Contribute to internal knowledge sharing, including documentation, team learning sessions, and platform knowledge base updates.
• Stay up-to-date with emerging trends in AI, automation, and integration technologies relevant to the Workato ecosystem.
• Communicate effectively with both technical and non-technical stakeholders to support smooth implementation and adoption.

• Hold a Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Have experience in development and implementation, with proficiency in Workato.
• Possess a solid foundation in AI engineering, with a focus on agent-based systems.
• Be able to design and implement scalable, AI-driven workflows that improve IT operations.
• Understand the basics of integration project implementation.

• Have a deep understanding of automation technologies, middleware, integration architecture patterns, web services, enterprise messaging, APIs (REST/SOAP), SOA, ESB, BPM, SDKs, and databases.
• Be familiar with cloud technologies, including iPaaS, SaaS applications, and cloud infrastructure.
• Have hands-on experience working with data structures like JSON and familiarity with RDBMS or NoSQL databases.
• Be proficient in coding languages such as Java, Python, or Ruby.
• Stay current with technology trends and best practices in application integration and AI automation domains.
• Have exposure to cloud business applications like Workday, NetSuite, Salesforce, ServiceNow, and Marketo.
• Have a conceptual understanding of microservices, API-based integration architecture, event-driven systems, and process automation using BPM or RPA.

• Excel at collaboration, being adaptable, and having a passion for making an impact.
• Be a strong critical thinker with analytical skills, possessing an entrepreneurial and proactive mindset.
• Be able to effectively prioritize tasks and manage time even under high-pressure situations.
• Have strong written and oral communication skills, enabling effective explanation of complex technical concepts to non-technical audiences.
• Be a fast learner who can independently research extensively and synthesize ideas quickly.
• Be proactive about solving problems and willing to take on additional initiatives as they emerge.

• Engage with potential clients to understand their business challenges and technical needs.
• Present and demonstrate AI products and solutions (e.g., NLP, Computer Vision, Predictive Analytics) to both technical and non-technical audiences.
• Design, propose, and customize AI solutions to fit client requirements.
• Partner with the sales team to strategize account approaches, RFP responses, and customer proposals.
• Conduct Proof of Concepts (PoCs) to showcase solution viability and business value.
• Provide technical expertise throughout the sales cycle, including discovery, solution design, and support during negotiations.
• Work closely with Product, Engineering, and Marketing teams to feedback customer requirements and market insights.
• Stay updated with the latest developments in AI technologies and the competitive landscape.

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 2–5 years of experience in presales, solutions engineering, technical consulting, or a related role, preferably in the AI or SaaS space.
• Strong understanding of AI technologies such as Machine Learning, Deep Learning, Natural Language Processing, and Data Analytics.
• Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear business value propositions.
• Hands-on experience with AI platforms, cloud services (AWS, Azure, GCP), and APIs is a strong plus.
• Ability to manage multiple projects and stakeholders in a fast-paced environment.
• Strong problem-solving mindset and client-centric attitude.

We turn conversations into actionable insights with AI devices. By recording, transcribing and summarizing real-life conversations, our solutions boost productivity and save time.

Our products empower you to focus on creative work while AI handles the details.

We are a pioneering company that seeks advanced AI innovations for user scenarios.

We have a growing team of experts working together to integrate AI with real life.

• AI expertise
• User interface design
• Software development

• A dynamic work environment
• Ongoing training and education