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Generative AI Solutions Architect (Gemini Enterprise & Google Cloud Platform)

Prabhav Services IncUnited States🇺🇸United StatesPosted Sep 24, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
22 hours ago
MicroservicesAPI GatewayBigQueryGenerative AIGoogle CloudJavaJavaScriptKubernetesPythonRESTStakeholder Management

Job Description

Job Title: Generative AI Solutions Architect (Gemini Enterprise & Google Cloud Platform)

Location:  Remote Work PST time zone

Duration: 6-12+ months

Required skills:

  • Key Responsibilities
  • Design, develop, and deploy AI-powered agents using Gemini Enterprise to support business automation, knowledge management, and customer-facing solutions.
  • Build agentic workflows that leverage large language models (LLMs), retrieval-augmented generation (RAG), enterprise data sources, and conversational AI capabilities.
  • Architect and implement scalable AI solutions across the Google Cloud Platform ecosystem.
  • Integrate Gemini Enterprise solutions with enterprise applications, APIs, databases, and cloud services.
  • Collaborate with business stakeholders to identify AI use cases and translate requirements into technical solutions.
  • Develop and optimize prompts, orchestration frameworks, and agent reasoning capabilities to improve performance and accuracy.
  • Ensure security, governance, compliance, and responsible AI practices are incorporated into all solutions.
  • Monitor, troubleshoot, and enhance deployed AI applications and agent-based systems.
  • Stay current with emerging AI technologies, Google Cloud Platform innovations, and industry best practices.
  • Required Qualifications
  • Proven hands-on experience building and deploying agents using Gemini Enterprise.
  • Strong understanding of agent architectures, multi-agent systems, prompt engineering, and AI workflow orchestration.
  • Deep expertise within the Google Cloud Platform ecosystem, including services such as:
  • Vertex AI
  • BigQuery
  • Cloud Run
  • Cloud Functions
  • Cloud Storage
  • Pub/Sub
  • IAM
  • API Gateway
  • Kubernetes Engine (GKE)
  • Experience integrating AI solutions with enterprise systems and data platforms.
  • Strong programming skills in Python, Java, or JavaScript.
  • Experience with REST APIs, microservices, and cloud-native application development.
  • Knowledge of AI governance, security, and data privacy best practices.
  • Excellent problem-solving, communication, and stakeholder management skills.

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