Gemini AI & Google Cloud Platform (GCP) Architect
US client via staffing partner · Remote
- Location
- Remote · Remote
- Salary band
- Band not stated
- Type
- Full-time
- Level
- Senior
- Work authorization
- Not stated
Stack
Google Cloud Platform (GCP) · Google Gemini Models · Vertex AI · Generative AI · LLMs · NLP · Multimodal AI · RAG (Retrieval-Augmented Generation) · Agentic AI · Agent Development Kit (ADK) · Python · API Development · Vector Databases · Cloud Run · Kubernetes (GKE) · BigQuery · Pub/Sub · Cloud Functions · MLOps · CI/CD
About the role
Job title: Gemini AI & Google Cloud Platform (GCP) Architect Location: Remote Job type: Full time Interview: Video JD - We are seeking an experienced Gemini AI & Google Cloud Platform (GCP) Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud. The ideal candidate should have deep expertise in Gemini models, Vertex AI, AI Agents, GenAI architecture patterns, and cloud-native solution design, with the ability to drive AI transformation initiatives across multiple business functions. Key Responsibilities: · Define and lead the architecture strategy for Gemini-based AI solutions on GCP. · Design scalable, secure, and cost-optimized Generative AI platforms leveraging Vertex AI and Gemini models. · Architect RAG frameworks integrating enterprise data sources, vector databases, and knowledge repositories. · Design and implement intelligent AI agents, copilots, virtual assistants, and automation solutions. · Establish AI governance, security, compliance, and Responsible AI best practices. · Collaborate with business stakeholders to identify high-value AI use cases and establish implementation roadmaps. · Lead cloud-native solution architecture using GCP services and microservices frameworks. · Provide technical leadership for AI/ML development teams and conduct architecture reviews. · Drive MLOps and operational excellence for AI model deployment, monitoring, and optimization. · Evaluate emerging AI technologies and recommend innovative solutions aligned with business goals. · Ensure AI solutions meet enterprise scalability, reliability, and performance requirements. Required Skills: · Strong expertise in Google Cloud Platform (GCP) Architecture · Hands-on experience with Google Gemini Models and Vertex AI · Expertise in Generative AI, LLMs, NLP, and Multimodal AI · Experience designing RAG (Retrieval-Augmented Generation) solutions · Knowledge of Agentic AI, AI Agents, and Agent Development Kit (ADK) · Strong proficiency in Python, API development, and cloud-native applications · Experience with Vector Databases (Vertex AI Vector Search, Pinecone, ChromaDB, etc.) · Expertise in Cloud Run, Kubernetes (GKE), BigQuery, Pub/Sub, Cloud Functions, GCS · Understanding of AI governance, security, compliance, and Responsible AI · Experience with MLOps, CI/CD, model monitoring, and AI lifecycle management · Enterprise integration experience with CRM, ERP, and business applications Preferred Qualifications: · Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks · Multi-cloud AI architecture exposure (Azure OpenAI, AWS Bedrock) · GCP Professional Cloud Architect Certification · Generative AI Leader or Vertex AI related certifications · Experience in AI Center of Excellence (CoE) initiative
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