Top AI Jobs in Singapore

Design, build, and deploy production generative AI applications using RAG, agents, and multi-agent systems. Collaborate with AI/ML, software, product, design, and data teams to deliver scalable and reliable solutions. Make architectural decisions, optimize performance and cost, review code, apply cloud and LLMOps practices, and mentor junior engineers while contributing to engineering standards.

Lead the Kai generative AI engineering team by defining architecture, building reliable agentic systems, and delivering trusted AI products. Manage and mentor AI, backend, and frontend engineers while driving evaluation, safety, observability, scalability, security, and operational readiness. Partner with Product, Design, Data, Security, Infrastructure, and domain teams to translate business needs into secure customer experiences and reusable AI platforms.

Provides advanced Tier 3 technical support for end-user hardware, software, operating systems, connectivity, and service issues. Escalates and resolves complex incidents, participates in major incident response and root cause analysis, improves SOPs and knowledge articles, develops automation and monitoring, assesses new hardware, and collaborates with global infrastructure, engineering, vendors, and support teams. Provides guidance, training, and informal leadership while supporting service quality and continuous improvement.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead product strategy, portfolio, commercialization, and organizational development for a global AI cloud infrastructure platform. Own GPU compute, bare metal, containers, networking, storage, AI training and inference products, including pricing, metering, SLAs, utilization, revenue, and margins. Partner across engineering, infrastructure, operations, sales, and solutions teams while building a high-performing product organization and scaling standardized cloud capabilities for developers and enterprise customers.

Design, develop and roll out geospatial AI-centric MVPs and digital products. Work full-stack on frontend and backend, implement and fine-tune ML/GenAI/LLM models, use cloud and DevSecOps practices, collaborate with stakeholders in cross-functional teams.

Develop full-stack software applications and backend services for semiconductor manufacturing, integrating enterprise systems, manufacturing data, APIs, dashboards, and Generative AI capabilities. Build AI assistants and agent-based workflows, create responsive frontends, maintain scalable services, and apply testing, CI/CD, cybersecurity, data governance, and Responsible AI practices. Collaborate with data scientists, engineers, and manufacturing experts to improve productivity and decision-making.

Supports product marketing for Signify’s outdoor lighting portfolio by managing the 4Ps, product launches, go-to-market activities, positioning, pricing, portfolio gaps, inventory, compliance, customer insights, personas, NPS action plans, and product training. Collaborates cross-functionally with segment marketing, channel marketing, end-user marketing, and marketing communications to drive profitable growth.

This role involves developing procurement strategies, driving category initiatives, managing supplier relationships, and utilizing advanced analytics to optimize outcomes. Collaboration with stakeholders is essential to deliver effective solutions and strategic sourcing direction.

Develop, train, evaluate, optimize, and deploy machine learning and deep learning algorithms for intelligent surveillance products. Responsibilities include data preprocessing, feature engineering, model research, target detection, tracking, recognition, model compression, platform optimization, documentation, and collaboration on product integration. The role requires staying current with AI advances and independently solving complex algorithmic problems.

Leads multiple global application development teams responsible for designing, building, and evolving a strategic payments processing platform. Sets architecture, engineering standards, technical direction, and quality practices while using AI-enabled development workflows. Partners with engineers, product teams, business stakeholders, and senior leaders to deliver solutions, manage risk, ensure compliance, and oversee hiring, performance, and personnel matters.

Design and deploy AI agents for payment processing and risk management. Translate business problems into production AI solutions using orchestration frameworks, prompting, RAG, and fine-tuning. Optimize agent reasoning, tool use, and workflow automation, integrate systems with secure backend and frontend platforms, and build evaluation, monitoring, and governance frameworks. The role requires production applied AI/ML experience, strong Python and ML framework skills, and the ability to balance innovation with reliability, scalability, and compliance.

Build and deploy AI-powered skills, workflows, and agents for internal teams. Clarify ambiguous problems, prototype solutions, make architecture and cost-latency-security tradeoffs, debug production issues, and measure business outcomes. Collaborate across functions while ensuring solutions are maintainable, secure, and reusable.

Leads the Land Transport Authority’s Transport AI programme, setting strategy, building multidisciplinary teams, and delivering AI products across public transport, traffic management, and road operations. Oversees AI platforms, safety controls, evaluations, governance, adoption programmes, and production deployment. Partners with operations, engineering, policy, government agencies, and senior leadership to ensure AI solutions are scalable, trustworthy, and embedded in operational workflows.

Designs, develops, and operationalizes enterprise AI agents, multi-agent workflows, full-stack applications, APIs, MCPs, and integrations with platforms such as ServiceNow, SAP, and Workday. Deploys secure containerized workloads in AWS and BYOC environments, manages authentication and secrets, translates business processes into AI solutions, and supports architecture, production readiness, rapid prototyping, and technical mentorship.

Supports business analysis, AI and automation solution development, testing, deployment, documentation, production monitoring, troubleshooting, and project coordination. The role assists with identifying automation opportunities, gathering requirements, developing AI agents and RPA solutions, integrating APIs or applications, and supporting stakeholders throughout implementation. Candidates will learn technologies including UiPath, Blue Prism, Xceptor, Microsoft, and Prodigy while working collaboratively in multicultural project teams.

Participate in a trainee program focused on agentic automation and AI. Design, develop, test, deploy, and maintain RPA and AI-enabled solutions using UiPath, Blue Prism, Xceptor, and Microsoft technologies. Translate business requirements into technical designs, create workflows and integrations, perform testing, document solutions, troubleshoot issues, support deployments, and collaborate with analysts, project managers, engineers, and consultants.

Lead the Digital Growth, AI and Marketing Technology capability for Global Wholesale Banking. Define digital growth strategy, drive AI-enabled marketing innovation, evolve the MarTech ecosystem, and advance data-driven measurement and analytics. Partner with business, technology and data teams to deliver scalable, personalised marketing, lead a high-performing team, and influence senior stakeholders to translate digital initiatives into measurable commercial outcomes.

The AI Adoption & Change Navigator drives AI solution adoption globally, provides regional coaching, customizes training for cultural relevance, and advocates for resources based on regional feedback.

Designs, prototypes, builds, and supports production AI agents and assistants for internal business teams. Translates ambiguous business needs into technical designs, selects build-versus-configure approaches, architects integrations and access controls, and develops Python-based APIs and automations. Integrates LLM observability and evaluation tools, presents solutions to stakeholders and review boards, and iterates on live systems based on user feedback.

Leads the portfolio and delivery of AI, automation, and analytics solutions across global manufacturing operations. Manages multiple cross-functional squads, coordinates roadmaps and dependencies, guides solution and integration decisions, drives workflow adoption, scales successful solutions across sites, and tracks operational and financial value realization. Partners with manufacturing leaders, PMOs, value stream owners, and technical specialists to deliver measurable transformation outcomes.

Leads Manulife Singapore’s enterprise AI, data, analytics, governance, and transformation strategy. Oversees data platforms, AI solutions, advanced analytics teams, process redesign, regulatory alignment, portfolio delivery, and value realization. Builds AI literacy, strategic partnerships, high-performing teams, and responsible innovation capabilities while engaging executives, regulators, and industry bodies.

Leads technical pre-sales architecture for AI networking, routing, automation, and infrastructure solutions across complex customer opportunities. Partners with sales, engineering, product management, integrators, and technical specialists to qualify deals, design and price solutions, deliver demonstrations and proofs of concept, respond to RFPs, and translate business requirements into technical solutions. Provides expertise in large-scale IP/MPLS, data center fabrics, SDN, network automation, virtualization, and AI technologies while supporting customer presentations, executive engagement, and delivery-team knowledge transfer.

Redesigns business and IT operational processes to reduce manual effort, delays, risks, and handoffs. Implements AI, workflow, infrastructure automation, and system integrations using platforms such as ServiceNow, Power Automate, Ansible, and Terraform. Develops measurable outcomes, SOPs, documentation, dashboards, and knowledge resources while training operational teams to sustain and improve implemented solutions.

Develop and deploy AI solutions including generative AI copilots, recommendations, RAG, and agentic AI systems. Build predictive and generative machine learning models using structured and unstructured data, apply advanced visualization and storytelling, and collaborate with business and technical teams on cloud, MLOps, and real-time data initiatives.