Contractor Solution Architect (Python, Google DialogFlow)

• Architect, design, and oversee the development of conversational agents using Dialogflow ES/CX.
• Define intents, entities, contexts, fulfillment, and multi-turn flows.
• Guide backend service and integration development using Python (Flask, FastAPI, etc.) with APIs, databases, and CRM systems.
• Implement advanced conversational features: event handling, slot-filling, rich responses, and voice interactions.
• Optimize NLP/NLU models, training data, and bot performance.
• Lead integrations with Google CCAI, telephony systems (IVR, Twilio, Genesys), or contact center platforms.
• Establish standards for automated testing frameworks, CI/CD pipelines, and monitoring.
• Collaborate with UX, QA, and business teams to define requirements.

• Proven experience with Google Dialogflow ES/CX (4+ years).
• Strong Python expertise (Flask, FastAPI, or Django).
• Deep knowledge of REST APIs, webhooks, and backend integration patterns.
• Experience with cloud platforms (GCP preferred; AWS/Azure a plus) and containerized deployments (Docker/Kubernetes).
• Strong problem-solving, system design, and communication skills.
• Bachelor’s degree in Computer Science or related field.

• Experience with Google CCAI, Vertex AI, or large-scale contact center platforms.
• Familiarity with speech-to-text, text-to-speech, and NLP model deployment.
• Knowledge of JavaScript/Node.js for middleware or frontend integrations.
• Experience with analytics and monitoring tools for conversational AI.
• Prior work on IVR systems, voice bots, or multi-channel conversational architectures.

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