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Remote Opportunity : Google Cloud Platform (GCP) + AI Specialist

Remote Opportunity : Google Cloud Platform (GCP) + AI Specialist

Executive RecruitingArlington, VA, United States
5 days ago
Job type
  • Full-time
  • Remote
Job description

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

    Posted On : Monday, July 21, 2025

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    Google Cloud Platform • Arlington, VA, United States

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