Presales Solutions Architect

As a Pre-Sales Solution Architect (Data & AI) at Google, your role will involve leading the technical discovery process to assess customer requirements and design scalable solutions utilizing a comprehensive suite of Data & AI services. You will work with services such as BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Gemini and Agent Builder. Key Responsibilities: - Architect and demonstrate solutions using 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 to showcase the value and capabilities of Google Cloud. - 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, especially in the infrastructure and data/AI domains. Qualifications Required: - 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.,