Req# [redacted] Responsibilities Own and oversee end-to-end delivery of ML and AI projects, ensuring high-quality, timely execution Manage complex data delivery programs, establishing governance and leading discovery phases Drive strategic ML/AI initiatives leveraging GCP and Gemini Enterprise Build architecture visions, diagrams, and technology roadmaps aligned to business direction Partner with customers and product management to define application and cloud architecture requirements Design and facilitate workshops with stakeholders to capture requirements and align technical strategy Lead the architecture team to deliver optimal, cost-effective solutions Drive pre-sales activities/business development - client demos, architectural proposals, and RFP/RFQ/RFI responses focused on GenAI strategy Lead enterprise-scale technical discussions with senior stakeholders Requirements 10+ years in IT, including 5+ years as a Delivery Manager or Solution/Systems/Enterprise Architect Experience working as a Technical Consultant with a proven background in both pre-sales and end to end delivery ownership roles Proven SME in ML/AI, with a track record of accomplished, large-scale projects Deep hands-on GCP experience, including architectural expertise Implementation experience on at least one major cloud platform, ideally GCP Extensive experience managing technical engagements - solution design, RFP proposals, MVP delivery Background in Software Engineering/Enterprise Architecture balancing pre-sales and delivery execution Active GCP certifications strongly preferred