Remote Opportunity: Google Cloud Platform (GCP) + AI Specialist
Work from Anywhere | Full-Time | International Applicants Welcome
Are you passionate about cutting-edge AI and cloud technologies? We’re hiring a Google Cloud Platform (GCP) & AI Specialist to design and deliver next-gen AI-powered solutions using Google’s most advanced tools—including Gemini, Agentspace, Contact Center AI (CCAI), and Code Assist. You'll be joining a forward-thinking team focused on driving innovation, solving complex problems, and transforming businesses with scalable, secure, and intelligent cloud solutions.
Why Join Us?
100% Remote — Work from anywhere in the world
Work with bleeding-edge Google AI technologies
Be part of a mission-driven, innovative, and fast-paced environment
Lead transformative AI projects for enterprise clients
What You’ll Do (Key Responsibilities)
AI Solution Architecture & Development
Design and deploy scalable, secure AI solutions on GCP using tools like Gemini, Agentspace, CCAI, and Code Assist.
Architect cloud-native applications that integrate multimodal AI, virtual agents, and automated developer tools.
Model Building & MLOps
Train, fine-tune, and deploy machine learning models using Vertex AI.
Manage the end-to-end MLOps lifecycle for performance, reliability, and scalability.
Prompt Engineering for Generative AI
Craft effective prompts to guide GenAI behavior and optimize output quality for tasks including summarization, reasoning, and creative generation.
Advanced Tool Integration
Seamlessly integrate Google AI services:
Gemini APIs for advanced multimodal AI
Agentspace for orchestrating AI agents at scale
Dialogflow CX, Agent Assist, and CCAI Insights for next-gen customer experiences
Code Assist/Duet AI to supercharge development workflows
Enterprise AI Agent Design
Build intelligent agents with Agentspace to streamline operations, automate workflows, and facilitate knowledge discovery.
Customer Experience Transformation
Deploy CCAI to optimize contact center performance—virtual agents, real-time agent assist, and actionable analytics.
Developer Productivity Enhancement
Implement Code Assist to improve code quality, speed, and understanding across development teams.
Data Management on GCP
Build robust data pipelines and manage large datasets using BigQuery, Cloud Storage, and Dataflow for AI model training and inference.
Security & Compliance
Ensure all AI solutions meet enterprise-grade security and regulatory compliance standards.
Consultation & Enablement
Act as a subject matter expert—leading workshops, demos, and strategy sessions for internal stakeholders or clients.
Continuous Learning & Research
Stay at the forefront of Google Cloud AI advancements. Explore new research, techniques, and tools—especially emerging capabilities in Gemini, Agentspace, and beyond.
What You Bring (Skills & Qualifications)
Core GCP Expertise
Deep knowledge of GCP services (e.g., Compute Engine, GKE, BigQuery, Vertex AI)
GCP certifications (Professional Cloud Architect or ML Engineer) strongly preferred
AI/ML Mastery
Strong background in machine learning, NLP, computer vision, and MLOps
Proven experience with LLMs and generative AI tools
Hands-On with Google AI Stack
Gemini: Real-world experience with generative tasks, multimodal AI, and function calling
Agentspace: Understanding of AI agent orchestration in enterprise environments
CCAI: Experience with Dialogflow CX, Agent Assist, and contact center analytics
Code Assist: Usage of AI-powered development tools across IDEs and codebases
Programming & Integration Skills
Proficiency in Python (preferred), with experience using GCP and AI SDKs/APIs
API-first mindset with experience in microservices and AI system integration
Strong Data Engineering
Skilled in building and managing data pipelines, working with structured/unstructured data
Soft Skills
Excellent communication and cross-functional collaboration
Analytical thinker with a bias for action and problem-solving
Ready to Apply?
Take the next step in your career and join a team building the future of AI on Google Cloud.
Apply Now