Gemini Enterprise Engineer

We're looking for a Gemini Enterprise Engineer to design, implement, and support enterprise-grade Generative AI solutions using Google Cloud Platform (GCP) . You'll work closely with business stakeholders, developers, cloud engineers, and security teams to deliver secure, scalable AI-powered applications that transform business processes. Responsibilities Design, configure, and deploy Gemini Enterprise solutions based on business requirements. Develop AI-powered enterprise search, knowledge discovery, workflow automation, and AI agent solutions. Integrate Gemini Enterprise with Google Workspace, Microsoft 365, databases, APIs, cloud storage, and other enterprise systems. Build secure data ingestion, indexing, retrieval, and search experiences. Implement Identity and Access Management (IAM), role-based access controls, and AI governance best practices. Monitor application performance, troubleshoot issues, and optimize AI search quality and user experience. Collaborate with cross-functional teams to gather requirements, develop technical solutions, and deliver Proofs of Concept (POCs). Create technical documentation and provide training to administrators and end users. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). 3+ years of experience in Cloud Engineering, Software Development, AI Engineering, Data Engineering, or Enterprise Application Implementation. Hands-on experience with Google Cloud Platform (GCP) . Experience with Generative AI , Large Language Models (LLMs), Conversational AI, or Enterprise Search. Strong experience integrating applications with REST APIs, databases, cloud storage, and third-party systems. Proficiency in at least one of the following: Python Java JavaScript / TypeScript Go Knowledge of: REST APIs OAuth Service Accounts Identity & Access Management (IAM) Prompt Engineering Retrieval-Augmented Generation (RAG) Embeddings Semantic Search Experience with application testing, troubleshooting, logging, and monitoring. Strong communication and stakeholder management skills. Preferred Qualifications Experience with Gemini Enterprise , Gemini APIs , Vertex AI , or Vertex AI Search . Experience building AI Agents and Agentic Workflows. Experience integrating Google Workspace or Microsoft 365. Knowledge of BigQuery, Cloud Storage, Cloud Run, Cloud Functions, and Pub/Sub. Experience with Terraform, GitHub Actions, Cloud Build, or Infrastructure as Code (IaC). Google Cloud certifications (Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, Professional Cloud Developer, or Generative AI Leader) are a plus. Key Skills Google Cloud Platform (GCP) Gemini Enterprise Vertex AI Generative AI Large Language Models (LLMs) AI Agents Retrieval-Augmented Generation (RAG) Prompt Engineering Python / Java / JavaScript / TypeScript / Go REST APIs Identity & Access Management (IAM) Google Workspace Microsoft 365 BigQuery Cloud Storage