Cloud Platform & Infra Engineer

Minimum qualifications ● Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. ● 7 years of experience in technical client services. ● Experience in the design and/or implementation of Cloud based technical architectures and solutions. ● LLM & GECX Proficiency: Deep understanding of Large Language Models (specifically Gemini), Gemini Enterprise for Customer Experience, and conversational AI platforms (CXAS, Dialogflow) in enterprise environments. ● Programming: Expertise in Python, with experience in AI orchestration frameworks ● API & Backend: Experience building and consuming RESTful APIs and working with cloud infrastructure (Google Cloud Platform preferred). ● Data Systems: Proficiency in vector databases (e.g., Pinecone, Vertex AI Search) and structured SQL/NoSQL databases. ● Security & Compliance: Familiarity with enterprise-grade security protocols, PII masking, and AI safety guidelines. Key Responsibilities ● Agent Development: Architect and build sophisticated AI agents using Gemini Enterprise for Customer Experience, Gemini models and CXAS, focusing on reasoning, grounding, and tool-use capabilities. ● Platform Migrations: Migration of legacy conversational interfaces (e.g., Dialogflow Cx, Playbooks, or third-party bots) to advanced CXAS and generative AI architectures. ● Agent Assist & Conversational Insights: Design and implement Agent Assist features (e.g., Generative Knowledge Assist, P