Teams at Accenture

Build and optimize batch and streaming data pipelines, ETL/ELT processes, data models, and analytics solutions on Google Cloud. Support Vertex AI and Gemini-based ML solutions, MLOps, prompt engineering, embeddings, and RAG experimentation. Participate in client requirements gathering, architecture implementation, data governance, quality validation, security, monitoring, and documentation while collaborating with senior engineers and architects.

Lead end-to-end OneStream XF architecture for enterprise consolidation, planning, reporting, and close-management implementations. Facilitate finance leadership workshops, translate requirements into scalable application and integration designs, establish governance and development standards, oversee implementation quality, resolve complex issues, and mentor technical and functional teams. Support consulting delivery across discovery through post-go-live, contribute to proposals and business development, and manage project resource planning.

Develop and deploy scalable AI and machine learning solutions for client use cases. Responsibilities include designing machine learning models, extracting insights from complex data, deploying production systems, creating agentic and multi-agent architectures, building conversational AI applications, and integrating cloud AI services. The role also involves stakeholder collaboration, system specification, testing, issue management, and supporting enterprise GenAI delivery.