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.
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
\- Strong Google Cloud Platform (GCP) Expertise: Profound knowledge of core GCP services (e.g., Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI). GCP certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer) are highly desirable.
\- Deep Understanding of AI/ML Concepts: Solid grasp of machine learning algorithms, deep learning, natural language processing (NLP), computer vision, generative AI principles, and MLOps practices.
- Hands-on Experience with Google AI Tools:
\- Gemini: Practical experience using Gemini models (via Vertex AI or Gemini API) for tasks like content generation, summarization, multimodal understanding, and function calling.
- Agentspace: Familiarity with the concepts and (as it becomes more widely available) practical experience in building or integrating with AI agents within an enterprise context.
- Contact Center AI (CCAI): Proven experience with Dialogflow CX for building virtual agents, Agent Assist for supporting human agents, and CCAI Insights for analytics.
- Code Assist: Experience utilizing AI-powered code completion, generation, and explanation tools within development workflows.
\- Programming Proficiency: Strong coding skills in languages like Python (most common for AI/ML), and familiarity with relevant libraries and SDKs for GCP and AI tools.
\- API Integration Skills: Experience in integrating various APIs, especially Google Cloud APIs and AI service APIs.
\- Data Engineering Skills: Ability to design data pipelines, work with databases, and handle large datasets for AI applications.
\- Problem-Solving and Analytical Skills: Ability to analyze complex requirements and translate them into effective AI-driven solutions on GCP.
\- Communication and Collaboration: Excellent communication skills to articulate technical concepts to diverse audiences and collaborate effectively with cross-functional teams.
The next step of the interview process: https://dashboard.kerplunk.com/job/google-cloud-platform-gcp-ai-specialist