Job Title: GCP Gemini Enterprise Architect
City: Denver
State/Province: Colorado
Posting Start Date: 9/22/26
Job Description:
Job Description
We are seeking an experienced Gemini AI & Google Cloud Platform (GCP) Architect to lead the design, architecture, andimplementation of enterprise-scale Generative AI solutions on Google Cloud. The ideal candidate should have deep expertise in Geminimodels, Vertex AI, AI Agents, GenAI architecture patterns, and cloud-native solution design, with the ability to drive AItransformation 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
Mandatory Skills: GCP Gemini Enterprise.
Experience: 8-10 Years.
The expected compensation for this role ranges from $80,000 to $158,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
