AI Platform & Architecture Lead

• Lead end-to-end architecture of AI/ML and GenAI solutions across project lifecycle phases (FEED, EPC, operations)

• Design and implement RAG-based architectures using vector databases, embeddings, and semantic pipelines

• Architect enterprise search platforms using Azure Cognitive Search, hybrid retrieval, and multimodal search techniques

• Define and implement LLMOps/MLOps frameworks including CI/CD, monitoring, evaluation, and governance

• Develop evaluation pipelines including LLM judges, synthetic data testing, and automated quality scoring

• Build architecture patterns using Azure AI Foundry, Azure ML, Azure OpenAI, and cloud-native deployment strategies

• Design scalable data pipelines, feature stores, and distributed model training systems using Spark and Databricks

• Ensure alignment with enterprise data governance and cataloging tools such as Purview and Collibra

• Identify EPC-specific AI use cases like schedule intelligence, forecasting, risk prediction, and optimization

• Evaluate and integrate GenAI tools, copilots, and enterprise AI solutions

• Create architecture blueprints, technical roadmaps, and reference designs

• Mentor teams on AI architecture, cloud engineering, and GenAI best practices