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Lead design and implementation of DevOps solutions in Azure; participate in envisioning, technical design, migration and deployment of cloud workloads; implement CI/CD pipelines, automation, and provide troubleshooting and client-facing technical leadership.

Lead architecture and delivery of enterprise AI systems (generative AI, agents, data platforms) across cloud-native environments. Define reference architectures, mentor teams, advise executives, ensure MLOps/LLMOps, security, scalability, and drive AI practice innovation and reuse across engagements.

Support and maintain clients' Azure data platforms and Power BI environments. Design and deploy data pipelines, models, and analytics solutions using Microsoft stack (ADF, Synapse, Databricks, SSIS/SSAS/SSRS). Troubleshoot incidents, communicate with clients, manage licensing, document environments, and promote best practices while collaborating with stakeholders and continuous skill development.

Lead cloud strategy engagements by facilitating executive workshops, performing cloud financial modeling, analyzing complex datasets, and delivering executive-ready roadmaps. Collaborate with solution architects and sales, mentor junior analysts, build reusable assessment assets, and support pre-sales to drive cloud adoption, cost optimization, and measurable business value.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

Responsible for generating business at new accounts and expanding existing client opportunities, focusing on solution selling and relationship management within the Microsoft ecosystem.