Technical Solutions Consultant, AI, Google Cloud

3 Months ago • 6-7 Years • Artificial Intelligence • $142,000 PA - $211,000 PA

Job Summary

Job Description

As a Technical Solutions Consultant, AI, Google Cloud, you'll collaborate with product and engineering teams, applying data-driven management in a fast-paced environment. You'll solve customer use cases using Cloud AI conversational products, creating reusable assets (code, toolkits, training), and delivering training to customers, partners, and internal teams. The role involves collaborating cross-functionally with various Google Cloud AI teams and working directly with customer stakeholders as a trusted advisor, guiding critical solution decisions. Responsibilities include applying data-driven skills, cross-functional collaboration, solving customer use cases, creating reusable assets, and providing expert guidance to stakeholders.
Must have:
  • Bachelor's degree in related field or equivalent experience
  • 5+ years technical project/solution engineering experience
  • 1+ year technical leadership experience
  • 1+ year experience in technical troubleshooting and coding
  • AI Platform/Algorithm experience
  • Customer-facing consulting experience
Good to have:
  • Master's degree in related field
  • Experience with Conversational AI, telecommunications, or contact centers
  • Knowledge of TensorFlow or other AI frameworks
  • Ability to lead AI solution design and implementation
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience in technical project management, stakeholder management, professional services, solution engineering or technical consulting, and 1 year of experience in technical leadership.
  • 1 year of experience in technical troubleshooting and writing code in one or more programming languages.
  • Experience working with AI Platforms or AI Algorithms.

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, or related technical fields.
  • Experience with community involvement, volunteering, mentorship or other work that shows commitment to betterment of others.
  • Experience in Conversational AI, telecommunications, networking, or contact centers.
  • Experience in consulting, technical consulting in a customer-facing role, with results working with a variety of different types of customers, engineers, and business.
  • Knowledge of other AI frameworks, products, or solutions such as TensorFlow.
  • Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.

About the job

In this role, you will work with our product and engineering teams.

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.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

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 customer use cases using Cloud AI conversational products to drive broad customer adoption, creates reusable assets (e.g., code, toolkit, 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 with customer stakeholders as a trusted advisor and provide expert guidance on critical solution decisions.

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