Top AI Jobs in Singapore

Lead and manage the Singapore Innovation and Research Center's R&D portfolio, build industry and research partnerships, identify technology trends and business opportunities, define and execute projects, provide technical leadership, and represent ABS in industry engagements to drive innovation across maritime, offshore, and shipbuilding domains.

Conceptualize and produce high-quality visual assets using AI creative tools and Adobe Creative Suite. Write and refine prompts for imagery and video, iterate on assets with the creative team, and independently execute concepts to meet project requirements. Project-based, onsite three days per week.

Lead development and evolution of the Group's AI risk framework, translate policy into practical controls, engage business and tech teams, monitor AI use cases, guide resolution of control gaps, and align frameworks with regulatory expectations and industry developments.

Design, build, test and support batch and streaming data pipelines and curated datasets on a modern Lakehouse and AI data platform. Implement data modelling, schema evolution, partitioning and data quality controls. Partner with platform teams and consumers, contribute tooling and standards, and lead delivery for workstreams while supporting junior engineers.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

Work on prototyping and researching GenAI solutions (RAG, agentic AI, fine-tuning). Build PoCs, develop tools aligned to business use cases, experiment with open-source AI stacks and industrial AI services, and support prototype industrialization under supervisor mentorship.

Design polished mobile and web interfaces for BJAK's AI and financial products. Create wireframes, user flows, prototypes and high-fidelity UI; maintain and evolve the design system; collaborate with product and engineering for pixel-perfect implementation; iterate using user feedback and analytics while ensuring accessibility and consistency.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead design and delivery of enterprise AI/RAG solutions for insurance risk consulting: run requirements workshops, produce architecture and UX, define RAG and prompt engineering approaches, ensure security/compliance, mentor engineers, and oversee implementation to production.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Customer-facing solutions architect specializing in OpenShift and AI workloads. Lead technical workshops, POCs, architecture walkthroughs, and demos; advise customers on AI infrastructure (compute, networking, storage, GPUs) and help transition AI/ML initiatives into production using OpenShift and related platform capabilities.

Pre-sales OpenShift specialist focused on AI who leads architecture walkthroughs, custom demos, workshops and POCs, advises on AI/ML platform readiness, partners with sales/product teams, and helps customers deploy AI workloads to production on OpenShift.

Pre-sales OpenShift Solutions Architect focused on AI workloads. Lead technical strategy, demos, workshops, and POCs; advise customers on AI/ML infrastructure, deployment, and optimization; collaborate with product, sales, and partners to influence roadmaps and deliver reusable technical sales assets and best practices.

Own and operate an AI-first sales prospecting program: design metrics, reporting, governance, sequencing, adoption, enablement, and executive cadences. Partner cross-functionally (AI Ops, Sales Ops, GTM Analytics, Enablement) to build data foundations, run reviews, drive adoption, and iteratively improve AI-native prospecting at scale.

Lead technical product development for AI-powered assistant systems: define end-to-end requirements, translate model capabilities into product decisions, drive trade-offs across quality/latency/cost/reliability, design evaluation frameworks, work closely with ML/backend/mobile engineers, and own product quality, predictability, and user trust.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Lead the AI product strategy, balancing technical feasibility with user needs, while collaborating closely with engineers for effective execution and quality control.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Six-month hands-on marketing internship focused on SEO-driven content, campaign and growth initiatives, content creation for multiple channels, basic design of marketing assets, influencer outreach, conference support, and competitive/market research to improve product and go-to-market performance.

Design, develop, and deploy agentic AI solutions to optimize network automation, predictive maintenance, anomaly detection, and intelligent network management. Collaborate with networking stakeholders to translate goals into technical requirements, ensure compliance with performance, risk, and regulatory standards, research emerging agentic AI trends, and provide troubleshooting, QA, and documentation for production AI systems.