Senior Technical Solutions Consultant, Conversational Agents

1 Month ago • 5-8 Years • Artificial Intelligence

Job Summary

Job Description

The Senior Technical Solutions Consultant, Conversational Agents will apply data-driven management skills in a rapidly changing environment, collaborating with Google Cloud AI teams (product, engineering, sales, etc.). This role involves solving complex customer use cases using Cloud AI conversational products, creating reusable assets (code, toolkits, training), and delivering training. You will discuss functional, technical, and commercial topics with customer stakeholders, acting as a trusted advisor and providing expert guidance on solution decisions. The position requires experience working with enterprises, external partners, and diverse stakeholders, and involves building AI customer solutions focused on Conversational AI, telecommunications, networking, or contact centers. A Bachelor's degree in STEM or equivalent experience, 5+ years in solution engineering, 3+ years in stakeholder management/technical consulting, and 3+ years in technical troubleshooting and coding are required.
Must have:
  • Bachelor's degree in STEM or equivalent
  • 5+ years solution engineering experience
  • 3+ years stakeholder management/consulting
  • 3+ years technical troubleshooting & coding
  • Experience with enterprise customers
  • Conversational AI solution expertise
Good to have:
  • Master's degree in Engineering/Computer Science
  • Experience with AI frameworks (e.g., Gemini)
  • Experience in telecommunications, networking, or contact centers
  • Ability to lead AI solution design and implementation

Job Details

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 5 years of experience in solution engineering.
  • 3 years of experience in stakeholder management, professional services, or technical consulting.
  • 3 years of experience in technical troubleshooting and writing code in one or more programming languages.
  • Experience working with enterprises, external partners/customers, varying levels of stakeholders and varying roles (Partner Managers to Software Developers).

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, or related technical fields.
  • Experience in consulting, technical consulting in a customer-facing role, with solid results working with a variety of different types of customers, developers, and business.
  • Experience building AI customer solutions focused in Conversational AI, telecommunications, networking, or contact centers.
  • Experience of other AI frameworks, products, or solutions such as Gemini.
  • Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.

About the job

The Google Cloud Applied AI Engineering team focuses on innovating and developing industry solutions within top industries of cloud, including telco, healthcare, retail, media and entertainment, finance, manufacturing, gaming, and public services. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future businesses of all sizes using technology to connect with customers, employees and partners.

We embrace collaboration, innovation, customer focus, and a dedication to quality, ensuring that our Solutions consistently exceeds expectations.

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

  • Apply data-driven management skills and be able to work in a rapidly changing environment.
  • Collaborate cross-functionally with Google Cloud AI teams (e.g., product, engineering, sales, professional services, learning, etc.).
  • Solve complex customer use cases using Cloud AI conversational products to drive broad customer adoption, creates reusable assets (e.g., code, toolkits, training), and deliver training for new product features or solutions for customers, partners, and field teams.
  • Discuss functional, technical, and basic commercial topics with customer stakeholders (e.g., developers, line managers) and empathize, shape, and influence them.
  • Work closely with customer stakeholders as a trusted advisor and provides expert guidance on critical solution decisions.

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