AI & Automation Engineer

The ideal candidate combines hands-on technical capability with a practical understanding of how projects are delivered on the ground

• Identify business challenges and digitalization opportunities across project and business functions.
• Work with stakeholders to understand operational pain points and translate requirements into practical digital solutions.
• Lead implementation, user acceptance testing (UAT), deployment and change management for new applications.
• Plan and run proof-of-concept (POC) and pilot deployments on project sites.
• Assess solutions for performance, scalability, safety and operational feasibility before scale-up.
• Design, build and deploy AI solutions that address business and operational challenges.
• Develop Agentic AI solutions using single-agent and multi-agent architectures.
• Build Retrieval-Augmented Generation (RAG) frameworks on enterprise and project data.
• Evaluate and integrate foundation models and Large Language Models (LLMs) for business use cases.
• Develop AI applications using APIs, SDKs, orchestration frameworks and cloud-native services (e.g., Azure OpenAI, Azure AI Services, Databricks).
• Lead AI POCs, pilots and enterprise-scale rollouts, with appropriate evaluation and observability in place.
• Track emerging AI technologies, frameworks and industry best practices.
• Collect, clean, transform and validate data from multiple business systems.
• Design data pipelines and write optimized SQL for extraction and analysis.
• Build machine learning models for predictive and prescriptive analytics; perform exploratory data analysis.
• Create Power BI dashboards, scorecards and management reports that give leadership actionable insight.