Data & AI Specialist

We are looking for a highly capable Technical Specialist Data and AI with strong expertise in Azure OpenAI Studio Azure Databricks and modern data engineering and AI technologies This role focuses on technical solutioning advisory architecture design PoCs customer enablement and driving adoption of Data and AI models across the organization The ideal candidate will work at the intersection of data engineering machine learning and applied generative AI driving end to end solutions from data ingestion to model deployment for unique challenges and opportunities within the engineering procurement and construction EPC sector In this role you may be required to travel to other corporate or project offices

Major Responsibilities Identify AI Opportunities Work closely with different departments to identify potential AI use cases that can solve business problems and create value Use Case Development Develop detailed AI use cases including problem statements objectives expected outcomes and success metrics Feasibility Analysis Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases Lead end to end technical solution design leveraging Azure Databricks Azure OpenAI Azure Data Lake and other Azure services Architect scalable data and AI systems including ingestion transformation storage model deployment and governance Define reference architectures best practices and reusable solution patterns Ensure solutions align with security compliance and enterprise governance standards Design fine tune and optimize LLM based solutions using Azure OpenAI Studio Build and demonstrate PoCs pilots and technical accelerators showcasing generative AI capabilities Guide teams on RAG architectures embeddings vector databases and enterprise LLMOps Collaborate with product and engineering teams to ensure scalable cost efficient data solutions Work closely with business leaders architects and engineering teams to understand requirements and define solution roadmaps Provide trusted advisory on data governance MLOps model risk management and LLM security Conduct technical deep dives demos and enablement sessions for internal external stakeholders Collaborate with cross