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Moderate competition due to popular AI title plus broad LLM/Python skills despite niche Dialogflow specialization.
Highly domain-specific CCAI, Dialogflow CX, and Google Cloud skills limit cross-industry transferability.
Explicit 6–8 years and specialized Dialogflow/CCAI/GCP requirements make filters strict.
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Define technical vision and lead end-to-end development of Google Contact Center AI initiatives, focusing on CCAI Agent Assist, Agentic AI, Gen AI, and Dialogflow CX.
Design robust, scalable solutions incorporating generative agent design, prompt engineering, and conversational AI architectures.
Deploy and manage agent components on Google Cloud Platform, optimize agent performance metrics, and implement automated evaluation and CI/CD workflows.
6-8 years of relevant professional experience.
Proficiency in advanced Python programming including OOP, type hinting, asynchronous patterns, and environment/dependency management.
Deep understanding of Dialogflow CX and Conversational AI agent architectures including prompt engineering and generative agent design.
Experience deploying solutions on Google Cloud Platform using Cloud Functions, Cloud Run and mastery of gcloud CLI.
Experienced in designing and scaling conversational AI systems with a strategic focus on generative and goal-oriented architectures rather than legacy intent-based systems.
Operationally skilled in integrating external APIs with LLMs for dynamic tool/function calling and managing complex data payloads.
Practiced in leveraging automated agent evaluation frameworks and LLM-assisted development tools to accelerate deployment and improve real-time conversational AI performance.