Location & Flexibility This role will operate remotely in the United States or based out of one of our major North American office locations - Charlottesville, VA, Durham, NC, Columbus, OH, and Boston, MA.
The OpportunityTELUS Digital is seeking a
Google CX Engineer to lead the architecture and technical development for our Gemini Enterprise Customer Experience (GECX) solutions. This is a high-impact individual contributor role responsible for building the scalable, secure, and integrated Google Cloud environments that power our most advanced conversational AI and agentic workforce implementations across app, web, and CCaaS platforms.
You will play a critical role in expanding our expertise in Conversational Agents, Agent Assist, and Conversational Insights, ensuring TELUS Digital continues to lead in AI-powered customer experience transformation. The role requires a combination of strategic execution, technical understanding of Google CES products, and strong business acumen.
ResponsibilitiesSolution 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.
Qualifications- 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.
