GCP Gemini Enterprise 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
Role- GCP Gemini Enterprise Architect Location - Remote Duration - Fulltime 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
Recruiter contact
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