Google Dialogflow architect
Dialogue flow conversation ai architect
Remote (PST)
Role Overview
We are looking for an experienced Google Dialogflow Architect to design, architect, and implement enterprise-grade conversational AI solutions using Google Cloud, Dialogflow CX/ES, and related AI services. The role will own the conversational architecture, integrations, scalability, security, and overall technical delivery.
Experience
7–12+ years overall IT experience, with 3+ years of hands-on experience in Dialogflow and Google Cloud conversational AI architecture.
Key Responsibilities
Design end-to-end conversational AI architectures using Google Dialogflow CX/ES.
Define conversation flows, intents, entities, fulfillment, session management, and context strategies.
Architect integrations with enterprise applications, APIs, CRM, contact-center platforms, and databases.
Integrate Dialogflow with Google Cloud services such as Cloud Functions, Cloud Run, Pub/Sub, Apigee, BigQuery, Vertex AI, and Cloud Storage.
Design voice and chat solutions, including telephony and contact-center integrations.
Establish reusable conversational AI frameworks, design patterns, and development standards.
Implement security, IAM, data privacy, monitoring, logging, and disaster-recovery strategies.
Optimize solutions for scalability, latency, reliability, and cost.
Collaborate with business analysts, conversation designers, developers, DevOps engineers, and stakeholders.
Conduct architecture reviews and provide technical leadership throughout implementation.
Define CI/CD and deployment strategies across development, testing, and production environments.
Troubleshoot complex Dialogflow and integration issues and guide development teams.
Required Skills
7+ years of experience in software/application architecture, with significant experience in conversational AI.
Strong hands-on experience with Google Dialogflow CX/ES.
Strong knowledge of Google Cloud Platform (GCP) and cloud-native architecture.
Experience with REST APIs, webhooks, microservices, JSON, and event-driven architectures.
Experience with Python, Java, or Node.js.
Knowledge of authentication and security concepts such as OAuth 2.0, IAM, API security, and encryption.
Experience with CI/CD, Git, Docker, Kubernetes, and infrastructure automation.
Strong understanding of conversational AI, NLP, LLMs, prompt engineering, and generative AI.
Experience integrating conversational solutions with enterprise systems and contact-center technologies.
Preferred Qualifications
Google Cloud certifications such as Professional Cloud Architect or Professional Cloud Developer.
Experience with Vertex AI, Gemini, Agent Builder, or generative AI architectures.
Experience with contact-center platforms such as Genesys, Cisco, or Amazon Connect.
Experience designing omnichannel customer-service solutions.
Experience with observability, analytics, conversation testing, and performance optimization.
Soft Skills
Strong architecture and problem-solving skills.
Excellent communication and stakeholder-management abilities.
Ability to translate business requirements into scalable technical solutions.
Strong documentation and technical leadership skills.
Ability to mentor engineers and lead architecture discussions.
Education
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.