Solution Architect
- Company
- HCLTech
- Location
- Jersey City, NJ
- Work type
- Full Time
- Posted
- 2026-08-13
Job description
Job Summary
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
1. 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.
2. 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.Required QualificationsLocation: Based in North America (On-site).
3. You will be defining solutions at Pre-sales stage and remain engaged in implementation of the solution for a specified period of time to scale execution.
Experience: 8-10+ years in data engineering, AI/ML, or cloud architecture. (E4), 10-15 (E5), 15+ (E6)
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 CertificationsGoogle Cloud - Professional Data Engineer / Professional Machine Learning Engineer.
Key Responsibilities
Key Responsibilities
1. 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.
2. 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.Required QualificationsLocation: Based in North America (On-site).
3. You will be defining solutions at Pre-sales stage and remain engaged in implementation of the solution for a specified period of time to scale execution.
Experience: 8-10+ years in data engineering, AI/ML, or cloud architecture. (E4), 10-15 (E5), 15+ (E6)
Skill Requirements
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.
