Conversational AI SCE, Google Cloud

Google LLC; Warszawa, Wrocław; Remote; PLN 268,000 - 274,000; Full time

Benefits offered by this job

Bonus 15%

Equity

Benefits

Job summary

Google LLC in Poland is seeking a Conversational AI Strategic Cloud Engineer to lead critical conversational AI initiatives for our enterprise customers, building and deploying interfaces and virtual agents using Google’s Gemini Enterprise for Customer Experience.

You will own requirements gathering, solution architecture, stakeholder management, and risk mitigation, serving as a trusted advisor throughout the project life cycle. Travel up to 30% for in-region meetings and onsite delivery.

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 3 years of experience building ML solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects.
• Experience in chat/voice bot development, ML, NLP, or linguistics.
• Experience in Python, Java, Go, or Node.js/TypeScript with serverless functions, webhooks, and REST/gRPC APIs.

Responsibilities

• Serve as a trusted technical advisor to customers and solve complex ML challenges.
• Coach customers on practical challenges in ML systems, feature extraction/definition, data validation, monitoring and model management.
• 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 meetings, technical reviews, and onsite delivery activities.

Skills

Machine learning

Conversational AI

NLP

Python

Java

Go

Node.js/TypeScript

Education

Bachelor's degree in Computer Science

Tools

REST APIs

gRPC

Serverless

Job description

Share Conversational AI SCE, Google Cloud

In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Wrocław, Poland.

• 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.

Preferred qualifications:

• 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.

About the job

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.
Poland: zł268000 - zł274000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.