Top Tech Jobs & Startup Jobs in Mumbai

Customer-facing Cloud Solution Architect who designs and delivers secure, scalable Azure infrastructure and migration/modernization solutions. Drive end-to-end technical delivery, use CAF/WAF frameworks, ensure environments are production-ready for AI, contribute repeatable IP, resolve blockers, and accelerate adoption of Azure services across infrastructure, databases, SAP, and hybrid environments.

Leads go-to-market activation for Microsoft’s AI Workforce solution in India. The role drives sales and marketing alignment, solution-play execution, pipeline acceleration, demand generation, field enablement, partner collaboration, performance tracking, and data-driven improvements. It serves as a thought leader and customer, partner, and field advocate while coordinating cross-functional teams to translate global strategy into local execution and improve seller effectiveness.

Drives strategic enterprise account growth by developing account plans, achieving revenue and consumption targets, forecasting accurately, and expanding market share. Builds trusted relationships with senior customer stakeholders, identifies digital transformation opportunities, and advocates for customer needs. Coordinates Microsoft’s cross-functional and partner teams to deliver AI, Copilot, Security, and other technology solutions that achieve customer and business outcomes.

Lead technology strategy for Financial Services accounts in India, partnering with C-level stakeholders to align business priorities with Microsoft AI, Copilot, Security, Cloud, and Data solutions. Drive strategic account planning, identify transformation opportunities, influence cross-functional execution, and act as a trusted advisor to deliver measurable business outcomes.

Leads technical sales engagements for Microsoft AI solutions, including Copilot, Copilot Studio, Agents, Teams Phone, and frontline worker offerings. Responsibilities include delivering demos and envisioning sessions, designing secure enterprise architectures, supporting pilots and co-sell opportunities, removing technical blockers, generating pipeline, documenting close and consumption plans, and coordinating handoffs to customer success and partners. The role also provides product feedback, supports competitive wins, and maintains technical certifications and team knowledge-sharing practices.

Conduct applied AI and machine learning research for Microsoft products. Design, train, fine-tune, and evaluate models including LLMs and SLMs; analyze large datasets; build scalable prototypes; design experiments and benchmarks; optimize model performance; and collaborate with researchers, engineers, and product teams to deploy research innovations. Document findings through technical reports, publications, patents, or open-source work.

PhD intern will research and prototype AI techniques for Azure SQL Database, analyze algorithms on large datasets, build scalable ML systems, collaborate with researchers and product teams, and contribute to technology transfer and publications.

Work on real-world software projects: design, develop, test, and improve software. Collaborate with stakeholders, learn new technologies, apply engineering principles, and enhance product reliability, performance, and observability in a team environment.

Manage PMO support for Microsoft consulting engagements, including project financials, staffing, risk and issue management, reporting, quality, governance, resource coordination, consumption tracking, subcontractor setup, billing escalations, and project closure. Partner with Area Project Managers and delivery teams to improve process adherence, maintain project hygiene, monitor budgets and forecasts, support customer satisfaction, and ensure successful execution across the engagement lifecycle.

Leads portfolio governance, delivery orchestration, financial forecasting, risk and compliance management, executive reporting, stakeholder advisory, process improvement, automation, and AI enablement across complex technology engagements. The role drives operational excellence, improves PMO effectiveness, mentors project managers, and ensures predictable delivery outcomes across multidisciplinary teams.