AI Deployment Engineer
Job Overview
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Job Description
About the AI Deployment Engineer Role at Google
As an AI Deployment Engineer on the gTech Users and Products (gUP) Tools Authorable Workflow team, you will be instrumental in Google's customer care evolution. This role involves collaborating with engineering, product, and design teams to compose, deploy, and test automated workflows, unblock API integrations, and architect in-house tooling and reporting solutions. You will be a trusted advisor, ensuring Google's products are optimized for users globally by leveraging your technical skill and product expertise.
Key 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 and reusability, 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.
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 with Google Cloud Platform, conversational agents (Dialogflow CX), and deploying AI agents.
- Excellent communication skills with a track record of managing multiple stakeholders and workstreams.
- Excellent problem-solving approach and investigative skills combined with a sense of ownership and a proactive can-do attitude.
About gTech Users and Products (gUP)
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.
About Google and gTech
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. Everything we do aims to ensure our customers benefit from the full potential of Google products.
Compensation Details
The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Key skills/competency
- AI Deployment
- API Integration
- Workflow Automation
- Google Cloud Platform (GCP)
- Dialogflow CX
- Python
- Java
- SQL/MySQL
- Stakeholder Management
- Technical Architecture
- System Development
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and gTech's role on LinkedIn and Glassdoor to align with their innovative spirit.
- Tailor your resume: Highlight extensive experience in AI deployment, API integration, and cloud platforms, specifically mentioning Google Cloud Platform (GCP) and Dialogflow CX.
- Showcase technical prowess: Emphasize your proficiency in programming languages like Python, Java, and C/C++, along with practical experience in system development and data analysis using SQL/MySQL.
- Prepare for behavioral questions: Focus on demonstrating excellent communication, problem-solving skills, stakeholder management, and a proactive, ownership-driven attitude, using the STAR method.
- Understand gTech's impact: Articulate how your skills as an AI Deployment Engineer can enhance user experiences and contribute to Google's product ecosystem, drawing from their mission statement.
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