Google Cloud Platform (GCP) / AI Specialist

We are seeking a Google Cloud Platform (GCP) / AI specialist with experience using Google AI tools like Gemini, Agentspace, Contact Center AI (CCAI), and Code Assist. The specialist will be responsible for designing, developing, deploying, and managing sophisticated AI solutions on Google Cloud. This role requires a strong foundation in GCP services coupled with deep expertise in leveraging Google's cutting-edge AI technologies to solve complex business problems and drive innovation.

Fully Remote, International Applicants Welcome

Key Responsibilities

• Designing AI-powered Solutions on GCP : Architecting scalable, secure, and cost-effective solutions that integrate Gemini for multimodal understanding and generation, Agentspace for enterprise AI agent orchestration, CCAI for enhancing customer service experiences, and Code Assist for accelerating software development.
• Developing and Deploying AI Models : Building, training, fine-tuning, and deploying custom AI models using Vertex AI (which often underpins access to models like Gemini). This includes managing the entire MLOps lifecycle.
• Prompt Engineering and Optimization : Crafting and refining effective prompts to guide GenAI models to produce desired outputs and continuously improving model performance and quality.
• Integrating Google AI Tools : Seamlessly integrating tools like Gemini APIs, Agentspace components, CCAI functionalities (Dialogflow CX, Agent Assist), and Code Assist into new or existing applications and business processes.
• Experience with Large Language Models (LLMs) : In-depth knowledge of LLM architecture, training, fine-tuning, and evaluation. Experience with models like Gemini is a significant plus
• Leveraging Gemini's Capabilities : Utilizing Gemini's advanced multimodal capabilities (text, image, audio, video, code) to build innovative applications, perform complex reasoning tasks, and generate creative content within GCP solutions.
• Implementing Agentspace Solutions : Designing and deploying AI agents within the Agentspace framework to automate tasks, streamline workflows, and facilitate enterprise-wide knowledge discovery and collaboration.
• Optimizing Contact Center Operations with CCAI : Implementing and customizing CCAI solutions to build intelligent virtual agents, provide real-time assistance to human agents, and derive insights from customer interactions to improve service quality.
• Enhancing Developer Productivity with Code Assist : Implementing and promoting the use of Code Assist (often part of Duet AI for Developers or specific IDE integrations) to help development teams write code faster, improve code quality, and understand complex codebases.
• Data Management and Processing : Managing and processing large datasets on GCP using tools like BigQuery, Google Cloud Storage, and Dataflow, ensuring data is prepared and available for AI model training and inference.
• Ensuring Security and Compliance : Implementing security best practices and ensuring compliance with relevant regulations for AI solutions deployed on GCP.
• Providing Technical Expertise and Consultation : Acting as a subject matter expert for internal teams or external clients on Google Cloud AI tools and their applications. This can involve workshops, demonstrations, and troubleshooting.
• Staying Updated : Continuously learning and staying current with the latest advancements in Google Cloud AI services, including new features and capabilities of Gemini, Agentspace, CCAI, and Code Assist.
• Research and Innovation : Pushing the boundaries of AI through research, exploring new algorithms, techniques, and applications. This is particularly prominent in roles at Google DeepMind and Google Research.

Essential Skills and Qualifications

The next step of the interview process :

Posted On : Monday, July 21, 2025