Developer - AI

About us: Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering . From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company Role Overview Job Description: Microservice development experience with Java and SpringBoot is mandatory. AI-Driven Requirements & Inception: Guide AI agents to translate business goals into detailed user stories, technical requirements, and execution plans. Validate AI-generated plans alongside the product and operations teams. Autonomous Construction & Code Generation: Configure and steer AI coding agents (such as Amazon Q Developer, GitHub Copilot, or equivalent IDE platforms) to propose architecture and generate production-ready code. Agentic Testing & DevOps Operations: Establish runtime validation pipelines and automated test suites. Utilize AI to automate infrastructure provisioning, optimize CI/CD workflows, and detect anomalies early. Context & Workflow Curation: Manage steering documents and rule files in your IDE to provide AI agents with the exact, relevant context required for complex enterprise repositories. Governance & Security: Implement automated security scanning (SAST, SCA, secrets detection) to ensure the safety and compliance of AI-generated code prior to cloud deployment.