Senior AI Engineer

, Singapore Job Family Group: Information Technology (IT) Worker Type: Regular Posting Start Date: September 4, 2026 Business Unit: Information & Digital Technology Experience Level: Experienced Professionals Job Description: About the Role We are seeking an experienced Senior AI Engineer to design, build, deploy, and scale AI-powered products and services that deliver measurable business value. This role focuses on transforming machine learning and generative AI concepts into production-ready solutions that integrate seamlessly into enterprise workflows. You will work across the full AI solution lifecycle, from rapid prototyping and experimentation to deployment, monitoring, and continuous improvement. Partnering closely with data scientists, product managers, platform teams, and business stakeholders, you will help shape and deliver innovative AI capabilities that drive operational efficiency and business outcomes. The ideal candidate combines strong software engineering expertise with hands-on experience in machine learning, large language models (LLMs), MLOps, and responsible AI practices. You are passionate about solving complex problems, delivering scalable solutions, and enabling the successful adoption of AI technologies within an enterprise environment. Accountabilities: AI Solution Development Design, develop, deploy, and support AI, machine learning, and generative AI solutions. Build and integrate LLM-powered applications into enterprise workflows. Develop scalable APIs and AI services, from prototype through to production. Machine Learning & GenAI Engineering Collaborate with data scientists to operationalize machine learning, NLP, and AI models. Build evaluation, orchestration, and retrieval pipelines to support AI solutions. Support data preparation, model optimization, and performance improvement initiatives. MLOps & Responsible AI Implement model monitoring, versioning, experiment tracking, and performance management. Establish processes to detect model drift and maintain production reliability. Promote responsible AI practices, including explainability, governance, and risk mitigation. Stakeholder Collaboration & Delivery Partner with product, engineering, platform, security, and business teams to deliver scalable AI solutions. Translate business requirements into practical technical solutions. Contribute to engineering best practices, knowledge sharing, and mentoring within the team. Skills and Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline. Proven experience delivering AI, ML, or software engineering solutions in production environments. Strong Python programming skills. Experience with data processing and analytics tools such as SQL, Pandas, and NumPy. Knowledge of software development best practices, Git, and version control. Experience developing and deploying AI services using FastAPI, Flask, MLflow, or similar technologies. Hands-on experience building LLM applications using LangChain, LlamaIndex, or equivalent frameworks. Experience integrating foundation model APIs such as OpenAI, Anthropic, Cohere, or Mistral. Understanding of machine learning concepts, model deployment, and operationalization. Experience with vector or graph databases (e.g., FAISS, Pinecone, Weaviate, Neo4j). Strong communication, stakeholder engagement, and collaboration skills. Preferred Technical Skills Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Understanding of deep learning, transformers, and foundation models. Knowledge of NLP concepts, including embeddings, RAG, and language models. Exposure to computer vision applications. Experience with prompt engineering, model fine-tuning, and evaluation techniques. Familiarity with MLOps practices, including model monitoring, governance, and deployment. Experience managing model performance, drift detection, and observability. Knowledge of Responsible AI and AI governance principles. Experience working with Azure cloud platforms and enterprise-scale AI solutions. Nice to Have Experience within Oil & Gas, Energy, Trading, Shipping, ETRM, or other complex industrial environments. Experience delivering digital products within highly regulated enterprise environments where security, resilience, governance, and compliance are critical. What You'll Bring A strong delivery mindset with the ability to balance innovation, speed, and scalability. Exceptional problem-solving and analytical skills, with the ability to evaluate multiple technical approaches and identify fit-for-purpose solutions. Experience translating complex business challenges into practical AI solutions. collaborative approach and the ability to work effectively across multidisciplinary teams. Passion for emerging AI technologies and their application to real-world business problems. Commitment to high engineering standards, quality, security, and responsible AI