Conversational AI Engineer
Job Overview
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Job Description
Conversational AI Engineer at Google
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurgaon, Haryana, India; Bengaluru, Karnataka, India.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 3 years of experience in computational linguistics or engineering.
- Experience in working with customers, executives, and technical leads.
- Experience in building chatbots or voicebots.
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 Artificial Intelligence (AI) solutions.
- Interact with 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 customer requirements and implementation best practices.
- Travel 30% of the time for client engagements as required.
Key skills/competency
- Conversational AI
- Dialogflow
- Natural Language Processing (NLP)
- Chatbot/Voicebot Development
- Cloud-based AI Solutions
- Client Engagement
- Solution Architecture
- Project Management
- Technical Consulting
- Machine Learning
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand what drives their innovation in AI.
- Customize your resume: Tailor your resume to highlight experience in conversational AI, computational linguistics, and client solutions, specifically mentioning Dialogflow or similar Google Cloud AI technologies for Conversational AI Engineer roles.
- Showcase practical AI projects: Prepare to discuss specific examples of chatbots, voicebots, or NLP projects you have built or launched, demonstrating your technical expertise and problem-solving skills in AI.
- Prepare for technical and behavioral interviews: Google interviews are rigorous. Expect questions on AI algorithms, system design for conversational agents, and behavioral scenarios demonstrating leadership and collaboration.
- Network and seek insights: Connect with current or former Google employees, especially those in AI or technical solutions roles, on LinkedIn to gain valuable insights into the hiring process and company expectations.
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