Join NVIDIA at the forefront of the AI revolution, powering industry transformations through accelerated computing and AI software. This pivotal role focuses on leading strategic partner engagements with major Indian conglomerates to foster the identification, development, and scaling of AI workloads across their business units. The ideal candidate is a senior technical business leader with deep expertise in enterprise transformation, industrial workloads, cloud and data center infrastructure, and orchestrating strategic accounts.

Collaborate closely with NVIDIA's sales, product, engineering, solution architecture, software, marketing, and partner teams. Your mission will be to convert executive interest into tangible, scalable AI outcomes, driving innovation and adoption of NVIDIA's cutting-edge platforms.

Develop and implement comprehensive strategic engagement plans for key Indian conglomerates and industrial AI accounts. Cultivate robust executive and technical relationships with CIOs, CTOs, business unit leaders, and AI platform teams. Identify and champion high-value AI workloads, including private AI, enterprise copilots, digital twins, and predictive maintenance. Facilitate partner adoption of NVIDIA's cloud, data center, and edge platforms. Coordinate internal NVIDIA teams to align account strategies, technical enablement, and executive engagement. Conduct workshops, solution days, and technical architecture reviews to drive adoption and understanding.

Create scalable, repeatable use cases that can be applied across diverse business units within large organizations. Gather critical account requirements, identify technical challenges and competitive landscapes, and provide valuable product feedback to internal stakeholders.

A Bachelor's degree in engineering, computer science, business technology, or a related technical field, or equivalent practical experience is required. A minimum of 10 years in strategic partnerships, enterprise technology, solution architecture, technical sales, business development, product management, or developer ecosystem roles is essential.

Possess a strong command of enterprise AI, private AI, cloud infrastructure, data platforms, modern application architecture, and AI deployment lifecycles. Exhibit the ability to engage effectively with both senior executives and hands-on engineering teams. Experience navigating complex, matrixed organizations spanning sales, technical, product, marketing, and partner functions is crucial.

Demonstrate strong commercial acumen, structured account planning capabilities, and the skill to articulate technical value in terms of business outcomes. Excellent communication, stakeholder management, and execution abilities are a must. Familiarity with NVIDIA AI Enterprise, NIM, Triton, TensorRT, CUDA, and cloud/data center deployment patterns is expected. Ability to position NVIDIA software for private AI, industrial AI, digital twins, and enterprise AI factory initiatives is key.