Assistant Vice President - Presales GCP Data %26 AI Architect

Iinviting applications for the role AVP- Pre-Sales GCP Data & AI Architect

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).

Qualifications we seek in you!

Minimum Qualifications

. 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