Conversational AI SCE - Google Cloud

Technologies we use

Expected

• Python
• Java
• Go
• Node.js
• TypeScript

Optional

• TensorFlow
• PyTorch

About the project

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Conversational AI Strategic Cloud Engineer (SCE), you will work directly with our most strategic enterprise customers on critical conversational AI initiatives to transform their modern contact centers. You will blend deep technical expertise with client-facing communication, architect, build, and deploy conversational interfaces and virtual agents using Google’s core conversational AI platforms, including the Gemini Enterprise for Customer Experience (GECX) suite.

You will serve as the technical engagement lead throughout the project life-cycle, owning requirements gathering, solution architecture, stakeholder management, and risk mitigation. You will act as a trusted advisor to client executives and technical stakeholders, and navigate ambiguity to deliver customer success in production. Furthermore, you will maintain a tight feedback loop with Google’s internal Cloud AI Engineering and Product teams, using your field experience to advocate for new features, overcome adoption blockers, and package lessons learned into published industry assets.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Your responsibilities

• Serve as a trusted technical advisor to customers and solve complex machine learning challenges.
• Coach customers on the practical challenges in machine learning systems, feature extraction and feature definition, data validation, monitoring, and management of features and models.
• Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Our requirements

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience in one or more discipline areas: chat/voice bot development, machine learning (ML), natural language processing (NLP), or linguistics.
• Experience in one or more general-purpose programming languages such as Python, Java, Go, or Node.js/TypeScript, with experience building serverless functions, webhooks, and REST/gRPC API integrations.

Optional

• Google Cloud Professional Machine Learning Engineer (PMLE) certification or Professional Cloud Architect certification.
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g. TensorFlow, pyTorch, XGBoost).
• A solid understanding of the auxiliary practical concerns in production machine learning systems.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• fruits
• corporate products and services at discounted prices
• integration events
• dental care
• corporate gym
• corporate sports team
• retirement pension plan
• saving & investment scheme
• corporate library
• no dress code
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• extra social benefits
• meal passes
• redeployment package
• employee referral program
• opportunity to obtain permits and licenses
• charity initiatives
• extra leave