Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  
• 3 years of experience in application or system development.
• Experience managing executive stakeholders and project management.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
  
• 3 years of experience in databases, data analysis, and scripting using SQL/MySQL.
• Experience deploying AI Agents, and with Google Cloud Platform and Conversational Agents (Dialogflow CX).
• Excellent problem-solving approach and investigative skills, combined with a sense of ownership, and a proactive can-do attitude.
• Excellent communication skills with a track record of managing multiple stakeholders and workstreams.

About the job:

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

As a Technical Architect on the gTech Users and Products (gUP) tools authorable workflow team, you will be a part of the next big bet for Google customer care, collaborating with various set of cross-functional stakeholders across Engineering, Product, and Design teams to compose, deploy, and test automated workflows, unblock Application Programming Interface (API) integrations, and architect in-house tooling and reporting solutions.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.

Responsibilities:

• Work on the deployment of the Help Guide across gUP products by building plans and tools. Collaborate to transform static workflow designs into dynamic, interactive experiences that resolve issues for the users.
• Provide guidance on technical and architectural aspects of the AI orchestration from conceptual phase to delivery, removing any technical impediments to ensure successful launch.
• Ensure quality output while keeping business stakeholders and leadership informed. Contribute and improve best practices around deploying AI agents to increase efficiency, reusability and optimizing maintenance and delivery of the agentic experiences.
• Optimize live agentic solutions. Develop a comprehension of gTech's internal tool and advocate for bug fixes and enhancements, working with the product engineering team to test new features and help on-board and implement features.
• Leverage Google Cloud Platform CES and Dialogflow tools to deploy AI support experiences.