Senior AI Deployment Engineer

Minimum qualifications:

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

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 5 years of experience with databases, data analysis, and scripting using SQL/MySQL.
• Experience deploying AI agents.
• Excellent creative 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 handling 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 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).

Authorable Workflows are a pivotal element supporting one of gTech’s goals for NextGen User Care incorporating AI. Come and join us in this exciting space, and you will have access to greater growth and development opportunities through exposure to key areas of the business. This includes influencing product support strategy to improve our customers’ ability to self-resolve issues in simple and efficient ways and increasing efficiency of the support experience by automating end-user support cases, setting the bar high for customer care at Google.

As a Technical Architect on the gUP Tools Authorable Workflow team, you’ll be a part of the next big bet for Google customer care, collaborating with a set of cross-functional stakeholders across Engineering, Product, and Design teams to compose, deploy, and test automated workflows; unblock 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 $147,000-$216,000 + 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

• Lead the deployment of the Help Guide across gUP products. Collaborate with cross-functional teams to transform workflow designs into interactive experiences that efficiently resolve issues for millions of Google users.
  
• Provide guidance on technical and architectural aspects of the AI orchestration from the conceptual phase to delivery. Partner with product engineering teams to accelerate the development and retrofit of APIs.
• Ensure high-quality output while keeping business leadership informed of status updates. Improve best practices around deploying AI agents to increase efficiency, reusability, and optimize maintenance and delivery of the agentic experiences.
• Master gTech's tools, advocate for bug fixes and enhancements, work closely with the product engineering team to test features, and implement new features.