AI Engineer

Job Title:

AI Engineer / 5 Years Experience

Department:
Data Science Governance & AI

Location:

Dubai Investment Park, Dubai, UAE

Experience

Required:

5 years

Job Type: Full-Time, office-based

Reports To:

Group Manager Data Science & Governance

Direct Reports:
None

Amana is seeking an AI Engineer to design, build and run the group's AI applications and predictive models on Microsoft Azure. You will take use cases from business problem to production generative AI and agent solutions on Microsoft Foundry, data and AI applications on Databricks Apps, and machine‑learning predictions served from the group's Databricks lakehouse and keep them accurate, secure and cost‑effective once they are live.

Through design, evaluation and mentoring you will set the quality bar for AI delivery in the team. This role sits within Amana's Data Science Governance & AI Centre of Excellence with a clear path into AI engineering leadership.

Amana operates across capital‑intensive sectors where cost, schedule, safety and cash flow decide project outcomes. AI creates value only when it reaches the people who run projects, sites and finance as tools they use every day built on governed data. Your applications and models will put predictions and AI assistance into the hands of project, commercial and operations teams across the group.

You will turn governed data into working trusted AI products and your designs and evaluations will shape how the rest of the team builds AI.

• AI Application Design & Delivery:
  Design, build and deploy generative AI and agent solutions on Microsoft Foundry; model selection, prompt and tool design, retrieval‑augmented generation (RAG) over governed Amana content and Foundry Agent Service.
• Build and run data and AI applications on Databricks Apps: interactive tools, RAG chat assistants, data‑entry forms and operational interfaces on lakehouse data governed by Unity Catalog.
• Deliver construction use cases such as contract review, document intelligence and project risk prediction integrated with Microsoft 365 and Power Platform so they reach users in the tools they already use.
• Own each solution end to end: requirements, design, build, user acceptance and handover to support.
• Machine Learning & Predictive Analytics:
  Develop, train, validate and deploy machine‑learning models forecasting, classification and anomaly detection on Databricks using MLflow, Unity Catalog feature tables and Model Serving.
• Run batch and real‑time predictions in production and surface them where decisions are made (Power BI, Databricks Apps and business workflows).
• Apply predictive analytics across project controls, cost and commercial, procurement, HSE, plant and workforce data and explain the method, confidence and limitations of each model to business users.
• Evaluation, Responsible AI & Security:
  Evaluate every AI solution before release for accuracy, groundedness, bias and robustness using Foundry evaluations and MLflow and record the results.
• Monitor deployed models and agents for drift, failure and answer quality and retrain or roll back when agreed thresholds are breached.
• Build security and data protection in from design:
  Microsoft Entra  managed identities, least‑privilege access, secrets management, content safety filters and PDPL controls for personal and HR data.
• Partner with the Data Governance Office to take each new AI use case through Amana's data risk assessment, apply data‑residency requirements to every model deployment and record each solution in the AI use‑case register.
• MLOps Reliability & Cost:
  Apply CI/CD automated testing and version control to code, prompts and models using Git and Azure Dev Ops.
• Own the operational health and running cost of your…