TekWissen LLC logo

AI - Gen Ai Architect - Google Cloud

TekWissen LLC

  • Tempe, AZ
  • 2 days ago
  • $57.14

Highlights

Job Description a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Role Purpose: Own the end-to-end architecture for secure, scalable, production-grade AI, GenAI, and agentic solutions on Google Cloud, with Gemini and Vertex AI as core technology components. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.

Numbers & Facts

LocationTempe, AZ
IndustryComputer/IT Services
Salary$57.14
Company Size100 to 499 employees
Year Founded2009
Websitehttp://www.tekwissen.com/

Description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.

Job Title: AI - Gen Ai Architect - Google Cloud
Location: Tempe, AZ 85284
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid

Job Description
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Role Purpose:
  • Own the end-to-end architecture for secure, scalable, production-grade AI, GenAI, and agentic solutions on Google Cloud, with Gemini and Vertex AI as core technology components.
Key Responsibilities
  • Define solution architecture using Google Cloud, Vertex AI, and Gemini models, integrated with enterprise applications and data.
  • Architect GenAI patterns including RAG, grounding, tool/function calling, agentic workflows, multi-agent orchestration, and human-in-the-loop processing.
  • Define integration patterns across fuel, POS, QSR, retail, customer, and enterprise platforms using APIs/event-driven services.
  • Establish standards for prompt/context management, model selection, AI evaluation, guardrails, security, responsible AI, observability, scalability, and cost optimization.
  • Architect data and retrieval patterns leveraging appropriate GCP data and AI services.
  • Work closely with Google Cloud specialists and engineering teams to evaluate and adopt relevant Gemini/Vertex AI capabilities.
  • Lead architecture/design reviews while driving reusable AI services, accelerators, and patterns across multiple use cases.
Preferred Profile:
  • Hands-on architecture experience with GCP.
  • Vertex AI.
  • Gemini.
  • GenAI/RAG.
  • Agentic AI.
  • Strong API, data, security, and cloud-native architecture experience.
Years of Experience:
  • 14.00 Years of Experience.
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



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