AI - Gen Ai Architect - Google Cloud

TechDigital Group; Tempe (AZ); On-site; USD 180,000 - 230,000; Full time

Job summary

TechDigital Group is seeking a Senior AI/Cloud Architect to own the end-to-end architecture for secure, scalable AI and GenAI solutions on Google Cloud, with Gemini and Vertex AI as core technologies. The role requires hands-on experience across GCP, GenAI patterns, and integration with enterprise data and applications.

You will lead architecture reviews, drive reusable AI services, and collaborate with Google Cloud specialists to evaluate Gemini/Vertex AI capabilities, ensuring robust security,

Qualifications

• Hands-on architecture experience with GCP, Vertex AI, Gemini, GenAI and agentic AI.
• Strong API, data, security and cloud-native architecture experience.

Responsibilities

• Own the end-to-end architecture for secure, scalable AI/GenAI solutions on Google Cloud.
• Define GenAI patterns: RAG, grounding, tool/function calling, agentic workflows, multi-agent orchestration.
• Establish integration patterns across fuel, POS, QSR, retail, customer and enterprise platforms via APIs/event-driven services.
• Set standards for prompt/context management, model selection, AI evaluation, guardrails, security and observability.
• Architect data and retrieval patterns using GCP data/AI services.
• Collaborate with Google Cloud specialists and engineering to adopt Gemini/Vertex AI capabilities.
• Lead architecture/design reviews and drive reusable AI services and patterns across use cases.

Skills

GCP

Vertex AI

Gemini

GenAI

APIs

Security

Cloud architecture

Job description

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

Years of experience required: 12+