Top AI Jobs in Singapore

Lead and manage 2-3 AI PODs to drive pipeline, revenue, margin, and win rates. Coach and hire sales and solutions staff, run rigorous GTM cadence, engage in strategic pursuits, and coordinate OEM and shared specialist resources to scale AI adoption across enterprise accounts.

The role involves developing AI strategies for various business functions, implementing POCs, collaborating with teams on AI solutions, and ensuring compliance with AI governance.

Lead and manage 2–3 AI PODs driving pipeline, win rates, revenue and margin. Coach and hire sales and technical staff, run weekly GTM cadence, engage in strategic pursuits with IT and LOB executives, coordinate shared and OEM resources, and integrate PODs into regional account planning to scale AI adoption.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Develop and optimize AI algorithms for computer vision tasks, including deep learning and few-shot learning approaches, while ensuring high-performance implementations and production readiness.

Lead design and delivery of production LLM-powered agent systems and firm-wide agent standards. Build reference agent apps, connect agents to internal data/APIs, establish security and governance for AI, adopt deployment and observability infrastructure, and partner with stakeholders to identify high-value use cases.

Lead development of vision-language model based situation awareness and decision-making for autonomous vehicles. Tasks include model training, test rig setup, experimental validation, and contributing to journal/conference publications while working with minimal supervision.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and integrations. Lead discovery across security domains, build demos and pilots, define success criteria and safety guardrails, advise on secure implementation, and deliver reusable assets and product feedback.

12-16 week internship implementing and optimizing GPU/accelerator kernels and custom operators, profiling and improving LLM inference and runtime performance, building benchmarks, fixing regressions, and shipping code to production or open-source AI infra projects.

Design and run adversarial tests on LLMs and multimodal agents, implement guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployments.

Drive business development for recruitment in crypto, blockchain, AI/ML, and fintech sectors: identify opportunities, build client relationships, negotiate deals, collaborate with recruiters, participate in 360 recruitment, and track performance metrics to grow accounts and revenue.

Develop and train foundation models for robotics, align text-based reasoning with low-level control policies, design zero-shot generalization experiments, integrate models into robotic systems with interdisciplinary teams, and present research findings.

Design, deploy, and maintain MLOps and agentic AI infrastructure: manage model registries and continuous training loops, implement A/B testing, deploy agents as scalable microservices on Kubernetes, and build observability dashboards to monitor token usage, latency, and agent reasoning paths.

Lead product strategy and roadmap to translate advanced AI and robotics research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with enterprise early adopters, and coordinate cross-functional teams to deliver hardware and deep-tech software products.

Design, run, and optimize large-scale LLM pre-training on 1,000+ GPUs. Manage distributed training with PyTorch/DeepSpeed/Megatron-LM, optimize networking and memory, and automate checkpointing and failure recovery for long runs.

Optimize and compress large language and vision models for on-device inference. Build distillation and hardware-specific compilation pipelines, and benchmark performance across NPU/GPU architectures for efficient edge deployment.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Design and integrate vision encoders and audio-native models into agent reasoning loops, optimize streaming latency for voice-to-voice AI interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs. Implement cross-modal alignment and leverage Whisper, CLIP, and multimodal LLMs with streaming/WebRTC architectures.

Design and implement human-robot interaction systems: build intent-recognition models from gaze/gesture/voice, program socially aware navigation, and design visual and auditory robot feedback and interfaces. Run user studies and prototype AI-driven voice and visual interfaces to evaluate interaction paradigms.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.

Lead design, development and deployment of enterprise AI/ML platforms and production models. Act as AI platform SME, build reusable libraries, data/ML pipelines, tools and UIs, collaborate with data scientists, IT and business stakeholders, and drive adoption of GenAI and best practices across the bank.

Lead vision, strategy, and delivery of AI-powered tools and an AI Agents platform for game engineering, art, production, and admin teams. Translate studio workflows into product requirements, run discovery and pilots, manage roadmaps and backlogs, coordinate cross-functional engineering and ML teams, and ensure production-ready, scalable, and governed AI solutions with measurable impact.

Design, develop, and deploy predictive and generative AI models; analyze large datasets; build GenAI-powered applications and reusable AI services; create data visualizations; collaborate with stakeholders to drive business decisions and keep abreast of ML and generative AI advances.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.