About the role
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.