Gemini Enterprise Engineer

We are seeking a skilled Gemini Enterprise Engineer to design, implement, integrate, and support enterprise-grade generative AI solutions using Google Cloud technologies.

The ideal candidate has experience with Google Cloud Platform, enterprise search, generative AI, data integration, and AI agent development. This role works closely with business stakeholders, cloud engineers, security teams, and application developers to transform business processes into secure, scalable, AI-powered workflows.

🕘 Shift: 9:00 PM – 6:00 AM PHT

🏠 Work Setup: Remote / WFH

Employment Location:

• PH – Negros Occidental
• PH – Bacolod, Negros Occidental
• PH – Cebu City
• PH – Davao City
• PH – Makati, Metro Manila

Key Responsibilities

Gemini Enterprise Implementation

• Design, configure, and deploy Gemini Enterprise applications based on business and customer requirements.
• Build AI-powered enterprise search, knowledge discovery, Q&A, and workflow automation solutions.
• Configure applications, data stores, search experiences, actions, and AI agents.
• Develop reusable AI agents for operations, customer service, sales, HR, and knowledge management.

Data Integration & Enterprise Search

• Integrate Gemini Enterprise with structured and unstructured enterprise data sources.
• Connect Google Workspace, Microsoft 365, databases, document repositories, cloud storage, APIs, and third-party applications.
• Design secure data ingestion, indexing, synchronization, and retrieval processes.
• Improve search and response quality through metadata, document preparation, access controls, grounding, and retrieval optimization.
• Ensure applications are connected to the appropriate data stores for search, answers, actions, and agents.

Security & Governance

• Implement identity, access management, data permissions, and role-based access controls.
• Ensure AI solutions comply with organizational security, privacy, and governance requirements.
• Configure access to enterprise information based on existing user permissions.
• Collaborate with security and compliance teams on data residency, auditability, retention, and responsible AI.
• Identify and mitigate risks including data leakage, prompt injection, unauthorized access, hallucinations, and inappropriate AI responses.
• Maintain documentation covering architecture, data flows, access controls, and operational procedures.

Deployment & Operations

• Support solutions throughout development, testing, production deployment, and ongoing operations.
• Monitor application usage, search quality, agent performance, errors, latency, and user feedback.
• Troubleshoot connector, indexing, authentication, API, permission, and application issues.
• Implement logging, monitoring, alerting, testing, and operational support processes.
• Recommend improvements based on adoption metrics, evaluation results, and stakeholder feedback.
• Stay current with Gemini Enterprise, Gemini models, Vertex AI, and related Google Cloud services.

Stakeholder Collaboration

• Conduct discovery sessions to understand business requirements, workflows, data sources, and expected outcomes.
• Translate business requirements into technical architecture and implementation plans.
• Develop proofs of concept, demonstrations, technical documentation, and presentations.
• Collaborate with project managers, architects, developers, data engineers, security teams, and business users.
• Train administrators, developers, support teams, and end users on Gemini Enterprise capabilities and responsible AI usage.
• Communicate technical risks, dependencies, progress, and recommendations to stakeholders.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.
• 3+ years of experience in cloud engineering, software development, data engineering, AI engineering, or enterprise application implementation.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with generative AI, LLMs, conversational AI, or enterprise search.
• Experience integrating applications with APIs, databases, cloud storage, and third-party systems.
• Proficiency in at least one programming language, preferably Python, Java, JavaScript/TypeScript, or Go.
• Understanding of REST APIs, authentication, OAuth, service accounts, and IAM.
• Knowledge of prompt engineering, RAG, grounding, embeddings, and semantic search.
• Familiarity with structured and unstructured data ingestion.
• Experience with application testing, troubleshooting, logging, and monitoring.
• Strong analytical, documentation, communication, and stakeholder-management skills.

Preferred Qualifications

• Hands-on experience implementing Gemini Enterprise or related Google Cloud AI products.
• Experience with Vertex AI, Gemini APIs, Vertex AI Search, Agent Builder, or conversational AI platforms.
• Experience developing enterprise AI agents and multi-step agentic workflows.
• Experience integrating Google Workspace or Microsoft 365 data.
• Knowledge of BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and API management.
• Experience with document processing, vector search, embeddings, or knowledge-management platforms.
• Familiarity with Infrastructure as Code and CI/CD tools such as Terraform, GitHub Actions, or Cloud Build.
• Understanding of responsible AI, model evaluation, AI governance, and enterprise data privacy.
• Experience in client-facing consulting, professional services, or enterprise implementation environments.
• Relevant Google Cloud certifications, such as Professional Machine Learning Engineer, Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, or Generative AI Leader.

Key Technical Skills

• Gemini Enterprise & Gemini APIs
• Vertex AI & Enterprise Search
• AI Agents & Agentic Workflows
• RAG & Prompt Engineering
• Python, Java, JavaScript/TypeScript, or Go
• REST APIs & Systems Integration
• Google Workspace & Microsoft 365 Integration
• Identity & Access Management
• BigQuery, Cloud Storage & Data Ingestion
• Logging, Monitoring & Application Evaluation
• Responsible AI & AI Governance

Core Competencies

• Strong problem-solving and analytical abilities
• Ability to translate business requirements into practical AI solutions
• Strong focus on data security, privacy, and governance
• Clear technical and business communication
• Ability to manage multiple implementation priorities
• Collaborative and customer-focused approach
• Ability to work independently while coordinating across cross-functional teams