Lead AI Engineer

*Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. W**e aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.* **Your Objectives** - Solve the hardest problems with AI to deliver social and economic value. - Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats. - Build, lead and mentor a world-class team of AI and data engineers. - Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels. - Create and deliver technical blogs & thought leadership on AI. - Invest continuously in building and extending your knowledge and skills. **Your Background** You bring strong capabilities in either AI Engineering or ML Engineering / MLOps. Proficiency in both is a significant advantage. AI Engineering (LLM & Agentic Systems) - Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR. - Experience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling. ML Engineering / MLOps - Practical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog. - Broad experience of NLP, computer vision, classification & recommendation systems, reinforcement learning and time series. - Experience designing and managing model experiment tracking and training workflows: hyperparameter tuning, cross-validation, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs. - Solid understanding and hands-on experience with the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining triggers — using platforms such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines. Platform & Delivery - At least 5 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing. - Broad experience of model deployment, canary releases and implementation on cloud. - Experience of automated data pipelines, data labelling, versioning and exploration. - Strong ability to develop and maintain relationships amongst clients, colleagues, and partners. - Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication. - Demonstrated ability to guide, develop and mentor AI and data engineers. - Demonstrated ability to create technical blogs & thought leadership on AI. - Active engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects. - Familiarity with agentic coding tools such as Claude Code, Cursor and Google Antigravity will be an advantage. *Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.* *We see the diversity of our team as a strategic advantage, and we work actively to maintain it.* *By applying for this role, you have read and acknowledge the data privacy statement via this link - [](https://www.temus.com/job-applicant-data-protection/)*