Overview A premier Global Systems Integrator (GSI) is seeking a seasoned On‑site Data & AI Architect in North America. This role bridges technical expertise and strategic sales, driving adoption of Google Cloud Platform (GCP) Data & AI solutions. You will design, present, and close complex deals, serving as a trusted advisor to senior CXOs.
Key Responsibilities
GTM Positioning & Sales Support: Work with Sales teams to identify, qualify, and close high‑value Data & AI opportunities. Solution Architecture: Design scalable, secure solutions utilizing Vertex AI, BigQuery, Dataflow, and Looker.
Pre‑Sales Leadership: Lead client workshops, craft proposals, and deliver technical presentations (PoCs/PoVs). Industry Focus: Build industry‑specific AI solutions that drive co‑sell motions and field incentives.
Define solutions at the pre‑sales stage and remain engaged in implementation of the solution for a specified period of time to scale execution.
Qualifications
Experience: 8–10+ years in data engineering, AI/ML, or cloud architecture.
GCP Expertise: Deep knowledge of Google Cloud Data & AI stack (Vertex AI, BigQuery).
GTM Expertise: Proven experience in pre‑sales, technical consulting, and supporting sales teams to achieve targets.
Communication: Excellent executive‑level communication and presentation skills.
Preferred Certifications
Google Cloud - Professional Data Engineer
Google Cloud - Professional Machine Learning Engineer
#J-18808-Ljbffr
Key Responsibilities
GTM Positioning & Sales Support: Work with Sales teams to identify, qualify, and close high‑value Data & AI opportunities. Solution Architecture: Design scalable, secure solutions utilizing Vertex AI, BigQuery, Dataflow, and Looker.
Pre‑Sales Leadership: Lead client workshops, craft proposals, and deliver technical presentations (PoCs/PoVs). Industry Focus: Build industry‑specific AI solutions that drive co‑sell motions and field incentives.
Define solutions at the pre‑sales stage and remain engaged in implementation of the solution for a specified period of time to scale execution.
Qualifications
Experience: 8–10+ years in data engineering, AI/ML, or cloud architecture.
GCP Expertise: Deep knowledge of Google Cloud Data & AI stack (Vertex AI, BigQuery).
GTM Expertise: Proven experience in pre‑sales, technical consulting, and supporting sales teams to achieve targets.
Communication: Excellent executive‑level communication and presentation skills.
Preferred Certifications
Google Cloud - Professional Data Engineer
Google Cloud - Professional Machine Learning Engineer
#J-18808-Ljbffr
AI Architect Arbeitgeber: HCLTech
HCLTech bietet eine dynamische und unterstützende Arbeitsumgebung in Zürich, wo Innovation und Teamarbeit im Mittelpunkt stehen. Als Senior Oracle PL/SQL Architect haben Sie die Möglichkeit, Ihre Fähigkeiten weiterzuentwickeln und sich in einem internationalen Umfeld zu entfalten, während Sie an spannenden Projekten arbeiten und jüngere Entwickler mentorieren. Die Unternehmenskultur fördert kontinuierliches Lernen und bietet zahlreiche Wachstumschancen sowie attraktive Benefits, die das Wohlbefinden der Mitarbeiter in den Vordergrund stellen.