telus-digital - Google Cloud Engineer (GECX)
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Requirements
• 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. • Preferred: Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. • 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.
Responsibilities
• SOLUTION DEVELOPMENT & INNOVATION • 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. • CLOUD INFRASTRUCTURE ENGINEERING • 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.
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