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

Executive Recruiting

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

Arlington, VA
Full Time
Paid
  • Responsibilities

    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