Solution Architect

Job Description
Job TitleData and AI PreSales ArchitectAbout the RoleThe Data & AI Pre-Sales Solution Architect role is a highly specialized position that combines deep technical knowledge with strong client-facing communication skills. The primary objective is to drive sales by demonstrating how a company's data and AI products can solve a client's specific business problems.Responsibilities"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." (1.) Key Responsibilities
1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents

Job Description (Posting).
Job TitleData and AI PreSales ArchitectAbout the RoleThe Data & AI Pre-Sales Solution Architect role is a highly specialized position that combines deep technical knowledge with strong client-facing communication skills. The primary objective is to drive sales by demonstrating how a company's data and AI products can solve a client's specific business problems.Responsibilities"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." (1.) Key Responsibilities
1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents

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