Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Enterprise quota-carrying seller responsible for territory planning, new logo hunting, inbound conversion, and account expansion. Sell Data & AI services and Database Managed Services, lead discovery and solution conversations, co-sell with hyperscaler/OEM partners, manage end-to-end enterprise deals, and coordinate internal delivery, solutions, legal, and finance teams. Maintain accurate Salesforce pipeline and forecast, present proposals and RFP responses, and travel as required for client and partner engagements.