Act as a trusted advisor to customers by understanding their business process and objectives, designing and building end-to-end GenAI-driven solutions spanning AI, Data, and Infrastructure, while partnering with peers to incorporate the full cloud stack into overall architecture.

Develop production-grade prototypes that deliver measurable outcomes, including writing custom code, integrating disparate data sources, designing data ontologies, deploying solutions on customer infrastructure.

Represent the customer, gathering real-time feedback and insights, formalizing and abstracting field-tested solutions into reusable modules or new product features to drive product innovation, and establishing technical and business cases to support recommendations.

Drive cross-functional influence over Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for customer requirements.

Lead regional field enablement in collaboration with leadership and engage with product and partner organizations on external enablements, with travel as needed.

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go).

Experience in a client-facing technical role, managing or deploying solutions for customers in the telecommunications industry.

Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, Retrieval-augmented generation (RAG), orchestrating model interactions with external tools to deliver solutions).

Experience architecting, deploying, or managing solutions on a cloud platform.