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# Enterprise Architect

- **Company:** HCL America Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $255,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Information Engineering, Machine Learning, Google Cloud
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=86cbfec7d6541b35

## About the Role

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., 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

Other Requirements

Communication : Excellent executive-level communication and presentation skills.
Preferred CertificationsGoogle Cloud - Professional Data Engineer / Professional Machine Learning Engineer.

## Description

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.


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