TELUS International

Lead technical architecture and presale efforts while supporting delivery teams and client engagements. | Requires multi-platform technical expertise, client-facing experience, software delivery leadership, and strong communication skills. | Location & Flexibility This role will be in a Work From Near (Hybrid) capacity based in one of the following offices: Vancouver, BC, and Toronto, ON, OR in a Work From Anywhere (Remote) capacity with travel to clients and TELUS Digital Solutions offices expected. The Opportunity As a Senior Manager,Solutions Architecture, you'll provide architecture leadership in both pre-sale and implementation stages with our client and executive partners. You'll leverage your software delivery experience and technical expertise to architect, plan, and initiate new projects. While working with a delivery team, you'll support in-flight projects and implement our client partner's vision. Senior Managers in Solutions Architecture bring their dynamic capabilities to a variety of scenarios, including speaking with prospective clients about our capabilities, leading architecture and discovery projects for new client initiatives, and collaborating with a delivery team to implement their vision. During downtime, our Solutions Architecture team acts as roving catalysts to support in-flight projects, with L&D time spent growing their technology expertise in a selected specialization (e.g., AWS). Responsibilities • Presale: Lead scoping, technical design, and work planning during the presale process while speaking with prospective clients about our firm's engineering capabilities • Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the product and technical architecture of client projects • Subject Matter Expertise: Owns a "technology vertical", encompassing solution design, platform selection, implementation support, and thought leadership (e.g., AWS, Content Management Systems, hybrid mobile frameworks, etc.) • Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise Competencies • Multi-platform familiarity, with expertise in one or more of the following: • Front-end: Swift, Kotlin, Maui, React Native, React, Angular, Flutter, Typescript • Backend: APIs (NodeJS, Spring, .NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL, Kafka) • Content management systems, analytics platforms, and other 3rd party frameworks • Experience delivering software in an agency/client-service environment • Experience in having commercial conversations involving budgets and fees • Experience with software estimation, work planning, and building project plans within time/cost constraints • Ability to break down complex ideas to both technical and non-technical individuals • You're excited to learn the principles of mobile software development • Experience quickly iterating and refining a product vision with a client by offering multiple approach options • Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies) • Excellent verbal and written communication skills • Ability to use repeatable frameworks and best practices to incorporate new technologies or concepts • Appreciation for the wider client enterprise, beyond a single project or initiative • Desire to expand an account to holistically service a client • Equally comfortable working in pre-sale and post-sale environments • An eye for detail and an ability to navigate ambiguity Bonus Points • Experience with leading CCaaS technologies such as Amazon Connect, Zendesk CCaaS, Google CES, Five9, and Genesys CCaaS. • Cloud Data Platforms: Experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. • Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). • Understanding of MLOps principles and tools for continuous integration/continuous delivery (CI/CD) of machine learning models. • Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.