Authorable Workflow Technical Architect, gTech

Google • Atlanta, GA

2d

About The Position

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).

Authorable Workflows (AWF) are a pivotal element supporting one of gTech's top
strategic goals for NextGen User Care incorporating AI. Our team influences
product support strategy to improve our customers’ ability to self-resolve
issues in simple and efficient ways, and increases 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 Workflows team, you will
collaborate 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.

Requirements

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in databases, data analysis, and scripting using SQL/MySQL.
• 3 years of experience in application or system development.
• Experience troubleshooting technical issues for internal/external partners or customers.

Nice To Haves

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python, TypeScript).
• Experience in architecting and implementing scalable, agentic AI solutions that integrate Large Language Models (LLMs) with deterministic conversational workflows and the development of reusable, API-driven tool calls.
• Experience with cloud technologies, such as architecting, developing, or maintaining cloud solutions in virtualized environments, or cloud data engineering.
• Experience using machine learning and building solutions.
• Excellent communication, project management, and leadership skills with the ability to manage multiple stakeholders and workstreams.

Responsibilities

• Collaborate with product and cross-functional teams to transform static workflow designs into dynamic, interactive workflows that efficiently resolve issues for Google users, empowering both customers and support agents.
• Provide guidance on the technical and architectural aspects of workflows to different stakeholders from conceptual phase to delivery, removing any technical impediments to ensure successful launch.
• Ensure high-quality output to customers all while keeping business stakeholders and leadership informed of statuses, risks, and challenges.
• Contribute and improve best practices around authoring workflows to increase authoring efficiency and reusability and optimizing maintenance and delivery of workflows.
• Develop a deep comprehension of gTech's internal tools portfolio and advocate for bug fixes and platform enhancements. Work closely with the Product Engineering team to test recently released features and help extended workforce workflow authors on-board and implement these features in workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level