[Remote] Google Cloud Engineer (GECX)

Note: The job is a remote job and is open to candidates in USA. TELUS Digital is an award-winning digital product consultancy and the digital division of TELUS, focused on delivering transformative customer experiences through innovative technology. They are seeking a Google Cloud Engineer to lead the architecture and development of Google Cloud environments for their Gemini Enterprise Customer Experience solutions, playing a key role in AI-powered customer experience transformation.

Responsibilities

• Stay current on Google CES advancements, generative AI, and NLP trends to recommend and integrate new capabilities
• Contribute to the development of innovative solutions and accelerators on the Google CES platform
• Ensure delivery excellence and solution scalability by applying best practices and proven technical approaches
• Encourage a culture of innovation and continuous improvement within the team
• Lead the architecture and development of Google Cloud environments specifically optimized for Gemini Enterprise Customer Experience (GECX) deployments
• Design and implement secure integrations between GECX, Google Cloud AI services and external platforms, including defining and configuring real-time CCaaS audio ingestion methods such as SIPREC and gRPC, as well as mobile applications and web interfaces
• Configure identity and access management (IAM) and secure service accounts to ensure governed access to GECX components

Skills

• Bachelor's degree in Computer Science, Engineering, Business, or related field; advanced degree is an asset
• 5+ years of experience in technology consulting, digital transformation, or customer experience, with a focus on AI/ML solutions
• Practical expertise with Google Customer Engagement Services (formerly CCAI)
• Proven success delivering AI/ML-powered customer engagement or contact center solutions
• Strong understanding of customer experience design, contact center operations, and key CX metrics
• Excellent communication and presentation skills for both executive and technical audiences
• Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer

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