Highlights
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. Hands-on architecture experience with GCP, Vertex AI, Gemini, GenAI/RAG and agentic AI, plus strong API, data, security, and cloud-native architecture experience.
Numbers & Facts
| Location | Tempe, AZ |
| Industry | Computer/IT Services |
| Salary | $55–$60 Per Hour |
| Company Size | 500 to 999 employees |
| Website | https://www.apolisrises.com/ |
Description
Job title: AI - Gen Ai Architect - Google Cloud
Location: Tempe, AZ 85284
Role is hybrid (3 days/wk)
Years of experience required: 12+
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 and agentic AI, plus strong API, data, security, and cloud-native architecture experience
Location: Tempe, AZ 85284
Role is hybrid (3 days/wk)
Years of experience required: 12+
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 and agentic AI, plus strong API, data, security, and cloud-native architecture experience
Benefits
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
About Company
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.