Presales Solutions Architect

JD for Google Pre-Sales Solution Architect (Data & AI) -Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI / ML services like Vertex AI, Gemini, and Agent Builder.Architect and demonstrate solutions leveraging generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications.Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and technical workshops that showcase the value and capabilities of Google Cloud.Strong understanding of data warehousing, data lakes, streaming analytics, and machine learning pipelines.Collaborate with sales to build strong client relationships, articulate the business value of Google Cloud solutions, and drive adoption.Lead and Contribute technical content and architectural designs for RFI / RFP responses and technical proposals leveraging Google Cloud Services.Stay informed of industry trends, competitive offerings, and new Google Cloud product releases, particularly in the infrastructure and data / AI domains.Extensive experience in architecting & designing solutions on Google Cloud Platform, with a strong focus on : Data & AI services such as BigQuery, Dataflow, Dataproc, Pub / Sub, Vertex AI (ML Ops, custom models, pre-trained APIs), Generative AI (e.g., Gemini).Strong understanding of cloud architecture patterns, DevOps practices, and modern software development methodologies.Ability to work effectively in a cross-functional team environment with sales, product, and engineering teams.5+ years of experience in pre-sales or solutions architecture, focused on cloud Data & AI platforms. Skilled in client engagements, technical presentations, and proposal development.Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.