Enterprise Architect
United States
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Job Description
Enterprise Architect
City and County of San Francisco, California

Job Summary

T

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

Other Requirements

Communication: Excellent executive-level communication and presentation skills.
Preferred CertificationsGoogle Cloud - Professional Data Engineer / Professional Machine Learning Engineer.
Maximum Salary (US):  255000
Minimum Salary (US):  173000
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.