AI Engineer (5+ Years' Experience)

About the role

Amana is looking for an AI Engineer to design, build and run the group's AI applications and predictive models on Microsoft Azure. The role lives in the Data Science, Governance & AI Centre of Excellence and takes use cases from business problems to production, keeping them accurate, secure and cost-effective. It reports to the Group Manager – Data Science & Governance.

Key responsibilities

• Design, build and deploy generative AI and agent solutions on Microsoft Foundry, including RAG over governed content and agent services.
• Build data and AI applications on Databricks Apps, such as RAG chat assistants and operational interfaces, and deliver construction use cases like contract review and project risk prediction integrated with Microsoft 365 and Power Platform.
• Develop, train and deploy machine-learning models (forecasting, classification, anomaly detection) on Databricks with MLflow, and serve predictions in Power BI, Databricks Apps and business workflows.
• Evaluate every solution for accuracy, bias and robustness, monitor models for drift and failure, and build security and data protection into design (Entra ID, secrets management, PDPL).
• Partner with the Data Governance Office on data risk assessments, data residency and the AI use-case register.
• Apply CI/CD, automated testing and version control via Git and Azure DevOps, and document architecture, prompts and runbooks.
• Mentor Data Scientists and engineers, work with business owners to define success measures, and help colleagues adopt approved AI tools safely.

Required profile

• 5+ years of hands-on experience in machine learning, AI or software engineering, including at least 2 years building and deploying ML or generative AI solutions in production.
• Built generative AI or agent applications on Microsoft Foundry, Azure OpenAI or an equivalent platform, including RAG and systematic evaluation.
• End-to-end ML development, ideally on Databricks with MLflow.
• Strong Python and SQL, and experience with web apps or APIs (e.g. Streamlit, Dash, FastAPI, React) and Git-based CI/CD.
• Experience with Entra ID, managed identities, secrets management and responsible AI testing.
• Excellent written and verbal communication with technical and business audiences.
• Preferred: Databricks Apps, Mosaic AI Vector Search, Model Serving, Unity Catalog, Copilot Studio, Power Apps, Power Automate, time-series forecasting, and industry experience in construction, engineering, manufacturing, energy or logistics.
• Certifications required within 6-12 months of joining: Azure AI Apps and Agents Developer Associate (AI-103) or Databricks Generative AI Engineer Associate, and Databricks Machine Learning Professional or ML Ops Engineer Associate (AI-300); preferred certifications also listed.
• Degree in computer science, data science, AI, information systems, IT, engineering, mathematics or statistics; a master's degree is an advantage.