Design, build, and deploy end-to-end AI solutions — from model selection and prototyping to production-grade pipelines — on cloud platforms such as Azure, GCP (Vertex AI), or Databricks.
Co-facilitate AI discovery workshops and ideation sessions with client teams, translating business challenges into actionable AI use cases and architecture recommendations.
Advise clients on AI architecture decisions, model selection, MLOps best practices, and platform choices, adapting recommendations to their technical maturity and constraints.
Develop and integrate GenAI solutions including RAG architectures, LLM-based agents, prompt engineering, and agentic workflows using tools such as LangChain, Azure AI Foundry, or Databricks Model Serving.
Contribute to AI strategy and governance engagements by supporting use case scoring, roadmap design, and the definition of AI governance foundations alongside the AI Lead.