Conversational AI Consultant

1 Month ago • 3 Years + • Artificial Intelligence

Job Summary

Job Description

As a Conversational AI Consultant, you will be responsible for the technical relationship of Google's largest advertising clients and/or product partners. You will lead cross-functional teams to leverage emerging technologies. Responsibilities include building virtual agent solutions on Google's platforms (e.g., Dialogflow), working with clients and partners to manage implementations of Contact Center AI solutions, interacting with sales and technical stakeholders to manage project timelines and deliverables, advocating for customer needs, proposing solution architectures, and deploying cloud-based virtual agent solutions. The role requires managing project scope, priorities, and risks, and approximately 30% travel for client engagements. You will act as a trusted advisor to decision-makers, balancing business and technical needs to develop innovative solutions.
Must have:
  • Bachelor's degree in CS or equivalent
  • Experience with customers, executives, technical leads
  • Chatbot/voicebot building experience
  • 3+ years in computational linguistics/engineering
  • Build virtual agent solutions on Google's platforms
  • Manage Contact Center AI solution implementations
Good to have:
  • Experience launching chatbot/voicebot applications
  • Experience building cloud-based conversational AI solutions
  • Experience with NLP
  • Excellent leadership and collaboration skills in AI/ML
  • Excellent communication, presentation, and problem-solving skills

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Experience in working with customers, executives, and technical leads.
  • Experience in building chatbots or voicebots.
  • 3 years of experience in computational linguistics or engineering.

Preferred qualifications:

  • Experience 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 sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
  • Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to complex customer requirements and implementation best practices.
  • Travel approximately 30% of the time for client engagements.

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