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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