Conversational AI Consultant
Job Summary
Job Description
As a Conversational AI Consultant, you'll be responsible for the technical relationships with Google's largest advertising clients and product partners. You will lead cross-functional teams to leverage emerging technologies. Your responsibilities include designing, testing, and deploying cloud-based virtual agent solutions using platforms like Dialogflow. You'll work closely with customer technical leads and executives, managing project scope, timelines, and deliverables. You'll also advocate for customer needs, drive new feature development, and propose innovative solutions. The role requires strong technical skills in conversational AI, experience working with clients, and excellent communication and problem-solving abilities. Approximately 30% travel is required for client engagements.
Must have:
- Bachelor's degree in CS or equivalent
- Experience in computational linguistics/engineering
- Experience with chatbots/voicebots (Dialogflow preferred)
- Experience working with clients and technical leads
- Build virtual agent solutions on Google's platforms
- Manage project scope, timelines, and deliverables
Good to have:
- Experience with Dialogflow and launching chatbot applications
- Experience building cloud-based conversational AI solutions
- NLP and related concepts experience
- Excellent leadership and collaboration skills in AI/ML
- Excellent communication, presentation, and problem-solving skills
3 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience in computational linguistics or engineering.
- Experience in working with customers, executives, and technical leads.
- Experience in building chatbots or voicebots.
Preferred qualifications:
- Experience in building chatbots or voicebots with Dialogflow, with launching chatbot or voicebot applications.
- Experience building cloud-based conversational AI solutions.
- Experience with natural language processing and related concepts.
- Excellent leadership and collaboration skills in the field of AI or Machine Learning.
- Excellent communication, presentation and problem solving skills.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow.
- Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement.
- Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience.
- Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements.
- Travel approximately 30% of the time for client engagements.
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