Job Description
Join our team and what we'll accomplish together The TELUS Bill Presentment team is at the forefront of our digital transformation initiative, revolutionizing how we deliver billing information to our customers. Our mission is to create a billing experience that's simple, clear, and accurate, meeting the rapidly evolving demands of our customers. In this pivotal role, you'll spearhead innovation, architecting cutting-edge solutions that reimagine how customers engage with their billing experience. Are you passionate about Cloud technology and AI advancement? Join our dynamic team where innovation meets impact. We're seeking bold thinkers who embrace change, thrive in collaborative environments, and are ready to shape the future of digital billing. You'll work alongside diverse stakeholders, driving transformative business outcomes while contributing to our customer-first digital evolution. Where clarity meets technology, and simplicity drives success! What you'll do: We are seeking a highly skilled and experienced Senior Cloud AI Software Engineer with deep expertise in Google Cloud Platform (GCP), particularly in Google’s Generative AI tools. As a key contributor, you will be responsible for architecting, developing, and deploying advanced Cloud and AI solutions using GCP services. You will collaborate with cross-functional teams to design and implement scalable, end-to-end AI models that solve real-world business challenges. Design, develop, and deploy end-to-end AI models using GCP services Leverage Google Gemini and other Google Generative AI tools (Vertex AI, Fuel IX, AutoML, BERT, T5) to build cutting-edge generative AI solutions Integrate AI solutions into production environments, ensuring scalability, security, and performance Lead projects involving large language models Collaborate with data engineers, data scientists, to optimize solution performance and streamline workflows OpenAPI Development: Build, optimize, and document APIs leveraging OpenAPI standards for seamless integration with AI systems LLM: Develop and deploy solutions using large language models (e.g., OpenAI GPT, Google Bard, or similar) for tasks like NLP, chatbots, summarization, and custom AI applications. Performance Optimization: Ensure AI solutions are efficient, robust, and optimized for production environments. Stay updated with the latest advancements in Google’s AI tools and provide strategic insights for their adoption Mentor other team members and guide them in best practices for AI/ML development What you bring Bachelor's in Computer Science, Data Science, Engineering, or related field 3+ years in AI development and 5+ years in GCP or any other cloud platform GCP certifications (ML Engineer, Data Engineer, Cloud Engineer) AI Ethics and Responsible AI practices Generative AI: Google state-of-the-art models, LLM deployment, fine-tuning, and prompt engineering GCP Services: Vertex AI, Dataflow, Dataproc, Composer, Cloud SQL, Kubernetes, Cloud Functions, Pub/Sub Model Deployment: RAG implementation, API integration Development: Python, JavaScript, Java, OpenAPI standards DevOps: CI/CD (GitHub Actions, Cloud Build, Deploy), Terraform, SRE practices Deployment Patterns: Blue-green, canary Leadership skill : GCP/AI project management, and team mentoring Problem-solving and analytical thinking Technical communication with stakeholders Cross-functional team collaboration Great-to-haves: Demonstrated knowledge of DevOps methodologies and Site Reliability Engineering (SRE) practices Extensive hands-on experience with Google Cloud Platform, particularly with Google Kubernetes Engine (GKE) Deep expertise across Google Cloud products, including Cloud Storage, Pub/Sub, Filestore, Cloud Scheduler, cloud function, Google Monitoring/Alerts, Compute Engine, Dataflow Working knowledge of Generative AI technologies and experience building API integrations with various Large Language Models (LLMs) Understanding of the Telecommunications Industry. Familiarity with 3GPP standards, Knowledge of network technologies supporting 5G and 5G LTE.
