Enterprise Architect

Full time role only Must have skills
- Google Cloud Platform & GCP AI & ML (CCA /Vertex AI / Gen AI

• 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, Big Query, 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 Qualifications
  
  Location:
  
  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, Big Query).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 / Professional Machine Learning Engineer.

• 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, Big Query, 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 Qualifications
  
  Location:
  
  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.

GCP Expertise
:
Deep knowledge of Google Cloud Data & AI stack (Vertex AI, Big Query).GTM Expertise:
Proven experience in pre-sales, technical consulting, and supporting sales teams to achieve targets.

Pay Range Minimum: 173000

Pay Range Maximum: 225000

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

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

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries.

We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.