Posted:1 day ago|
Platform:
On-site
Full Time
Experience Level: Relevant years overall, with experience in Cloud & AI architecture Primary Cloud: Google Cloud Platform (GCP)
Preferred: Multi-cloud experience (AWS, Azure, etc.)
Role Overview
We are seeking a highly skilled Pre-Sales GCP Data & AI Architect to lead technical solutioning and client engagements around data modernization, AI/ML, and advanced analytics on Google Cloud. This individual will play a critical role in driving large-scale AI transformation initiatives, shaping deals, and ensuring successful solution design and positioning in pre-sales cycles. The ideal candidate combines deep technical expertise in GCP Data & AI services with strong client-facing and consultative skills.
Key Responsibilities .
Pre-Sales Leadership: Partner with sales teams to define solution strategies, lead RFP/RFI responses, and deliver compelling proposals, presentations, and demos
Solution Architecture: Design end-to-end Data & AI solutions on GCP, including AI/ML pipelines, data platforms, and advanced analytics use cases.
AI/ML Expertise: Leverage GCP AI/ML services (Vertex AI, Generative AI, BigQuery ML, AutoML, etc.) to architect solutions addressing customer business challenges.
Client Engagement: Act as a trusted advisor to CXOs, data leaders, and technical teams, translating business problems into scalable AI-driven solutions.
. Deal Support: Collaborate with partner ecosystems, product engineering teams, and delivery units to ensure solution feasibility and competitive positioning.
. Thought Leadership: Contribute to technical evangelism, whitepapers, PoCs, and industry-focused AI solution accelerators
. . Multi-Cloud Perspective: Bring insights into multi-cloud architectures, ensuring integration between GCP and other major hyperscalers (AWS, Azure).
. Cloud Expertise: Deep, hands-on knowledge of GCP Data & AI services (BigQuery, Vertex AI, Dataproc, Dataflow, Pub/Sub, Looker, etc.).
. AI/ML Background: Strong experience in implementing AI/ML projects, including GenAI, NLP, computer vision, and predictive modeling.
. Pre-Sales Experience: Proven ability to lead technical solutioning in pre-sales, including shaping large AI/ML deals.
. Architectural Skills: Strong grounding in data architecture, ML Ops, APIs, and microservices. . Multi-Cloud Experience: Working knowledge of AWS/Azure Data & AI stacks.
. Soft Skills: Excellent communication, storytelling, and client-facing skills ability to simplify complex AI concepts for business leaders.
Certifications (Preferred):
o Google Cloud Professional Data Engineer or ML Engineer
o Google Cloud Professional Cloud Architect
o Additional AWS/Azure certifications are a plus
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