Top AI Jobs in Singapore

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

The AI Engineer will develop and deploy AI/ML solutions, focusing on large language models and machine learning to solve engineering challenges, integrating tools into existing workflows, and collaborating with various specialists.

The Applied AI Engineer will lead the adoption of AI products, collaborating with clients to integrate AI models and maintain full-stack applications while enhancing customer feedback.

The AI Cloud Architect will develop cloud strategies, design solutions, lead migrations, implement governance, and drive AI integration while managing relationships with service providers and ensuring security compliance.

Lead the design and implementation of enterprise AI solutions, focusing on governance, compliance, and technical strategy, working across cloud platforms.

Develop AI systems for 3D and video generation, conduct research in computer vision and graphics, collaborate with teams, and apply innovative AI techniques.

As an AI/ML Software Engineer at Finite State, you'll develop AI-driven security features, integrate systems, and collaborate across teams, contributing to cybersecurity solutions for connected devices.

Lead and scale a team that helps high-growth startups move AI projects from experimentation to production. Define strategy and operating models, mentor engineers, resolve technical blockers, drive deployment playbooks and reference architectures, partner with Sales and Product, and serve as a senior technical escalation for startup customers.

Test and validate Spanish (Mexican) voice AI agents, review recordings and transcripts, identify language/pronunciation and workflow issues, provide structured feedback, and support live customers via email/tickets during US Pacific Time business hours.

Design and deploy AI-driven sales workflows that automate lead generation, qualification, outreach, and CRM orchestration. Integrate HubSpot, RingCentral, and middleware (n8n/Make/Zapier), build LLM-based agents and forecasting models, and document scalable playbooks to double lead handling without headcount increases.

Drive strategic enterprise sales for AI-ready infrastructure across major accounts. Engage C-level and technical stakeholders, design GPU-cloud and high-performance data center architectures with pre-sales, manage partners and channels, generate demand via workshops, and close complex multi-million-dollar deals focused on scaling AI clusters and networking fabrics.

Lead Line-2 oversight of enterprise AI and data risk governance. Develop and implement governance frameworks, policies and KRIs; perform independent reviews; serve as Data & AI Committee secretariat; coordinate regional adoption, training, regulator engagement, and provide risk reporting and remediation guidance to senior management and Board.

Lead and execute an enterprise AI/GenAI program: define roadmap, build business cases, manage stakeholders, oversee delivery, enforce governance and compliance, and drive adoption and change management to realize business impact.

Lead APJ product strategy for cloud, AI inference, and distributed workloads. Engage customers to identify adoption blockers and market opportunities, partner with GTM and Sales, translate customer asks into clear problem statements, drive cross-functional alignment across Sales, Engineering, and Product, and ensure pricing, scope, and delivery are defined for large or custom opportunities.

Lead post-sale enablement to drive adoption of OpenAI products (ChatGPT Enterprise, Agents). Design and deliver workshops, trainings, executive briefings, and scalable playbooks. Serve as SME, partner with Sales and Product, gather customer feedback, and drive measurable activation and sustained usage across enterprise customers.

The role involves owning the AI roadmap for customers, aligning teams for AI adoption, and driving customer success through strategic AI initiatives. Responsibilities include stakeholder alignment, project management, and using analytics to enhance AI solutions and customer satisfaction.

Assist in developing and optimizing AI models, supporting deep learning techniques, and collaborating with engineering teams. Continuous learning and contribution to projects are emphasized.

Lead technical pre-sales for computer vision and AI, design testing solutions, scope customer requirements, and maintain client relationships.

As an Innovation and Applied-AI Engineer, you will develop AI/ML software solutions, prototype new ideas, and implement end-to-end systems within a collaborative, innovative team environment.

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

Conduct research on 3D/4D scene reconstruction and generative AI, develop models, publish research, mentor junior researchers, and oversee project progress at NTU's College of Computing and Data Science.

The AI Immersive Technologist will design and develop AI-driven immersive experiences for global audiences, focusing on scalable systems that integrate generative AI and real-time 3D technologies while collaborating across multiple teams to enhance ocean education.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.