Google DialogFlow Architect

Avantdigitalnow; New York (NY); Remote; USD 150,000 - 210,000; Part time

Job summary

An innovative tech company is looking for a Google Dialogflow Architect to work remotely. You'll design and deploy conversational agents, collaborating with teams to integrate these into applications. This position requires a minimum of 8 years in IT and mandatory GCP certification. Strong expertise in natural language processing and conversational AI design is essential. Join us to shape engaging user experiences and stay at the forefront of AI advancements.

Qualifications

• Minimum 8 years of IT experience required.
• Proven experience of at least 3 years designing conversational interfaces.
• Strong understanding of NLP concepts.
• Strong understanding of NLP concepts.
• Experience building chatbots for customer service, lead generation, information retrieval.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Excellent communication, collaboration and problem-solving skills.

Responsibilities

• Design and deploy conversational agents using Google Dialogflow.
• Collaborate with teams to integrate interfaces into existing systems.
• Continuously improve Dialogflow agents' performance.
• Continuously improve Dialogflow agents by optimizing NLP and overall conversational performance.
• Implement context-aware conversations to handle complex queries.
• Integrate Dialogflow with external systems, APIs, and databases to enhance functionality.
• Partner with backend developers to ensure smooth integration of conversational interfaces.
• Stay up-to-date on Dialogflow advancements and best practices.
• Document and maintain complex conversational flows.

Skills

Conversational AI design

Natural Language Processing

Collaboration

Cloud platforms familiarity

Problem-solving

Communication

Strong communication

Education

GCP certification

Tools

Google Dialogflow

Google Cloud Platform

Conversation analytics tools

AWS

Azure

APIs

Databases

Job description

Job Description- Google Dialogflow Architect (Remote - USA)

Location: Remote

Contract type - Contract / C2C

We are searching for a talented and experienced Google Dialogflow Architect to join our growing team. In this remote role, you will play a pivotal role in crafting innovative conversational interfaces that leverage the power of Dialogflow.

Responsibilities:

• Design, develop, and deploy robust conversational agents using Google Dialogflow for various applications and platforms.
• Craft engaging and natural dialogue flows that meet user needs and expectations.
• Collaborate with cross-functional teams (design, development, product) to integrate conversational interfaces seamlessly into existing systems.
• Continuously improve Dialogflow agents by optimizing natural language understanding (NLU) and overall conversational performance.
• Implement context-aware conversations to handle complex user queries effectively.
• Integrate Dialogflow with external systems, APIs, and databases to enhance functionality and intelligence of chatbots.
• Partner with backend developers to ensure smooth integration of conversational interfaces.
• Stay up-to-date on the latest advancements in Google Dialogflow and conversational AI technologies.
• Assist in creating and maintaining best practices for Dialogflow development within the team.

Qualifications:

• Minimum 8 years of IT experience.
• GCP certification is mandatory
• Proven experience designing and developing conversational interfaces using Google Dialogflow (minimum 3 years).
• Strong understanding of natural language processing (NLP) concepts.
• Experience with building chatbots for various applications (e.g., customer service, lead generation, information retrieval).
• Familiarity with cloud platforms (AWS, Azure, GCP) a plus.
• Excellent communication, collaboration, and problem-solving skills.
• Passion for creating user-centric and engaging conversational experiences.
• Experience with Google Cloud Platform (GCP).
• Experience with integrating Dialogflow with other AI services (e.g., Dialogflow CX, Machine Learning Engine).
• Experience with conversation analytics tools.
• Proven ability to document and maintain complex conversational flows.