TELUS Digital

AI Engineer

• Design and implement context architectures that enable AI systems to access, interpret, and reason over enterprise knowledge.
• Develop and maintain ontologies, schemas, and knowledge representations that structure domain knowledge across systems, ensuring consistency, reusability, and scalability.
• Define and optimize context assembly pipelines, including retrieval strategies, ranking logic, memory handling, and prompt/context composition for LLM-based systems.
• Build and manage semantic layers over structured and unstructured data, enabling effective grounding of AI agents in real-world business context.
• Design and implement knowledge graphs and context graphs to model relationships between entities, actions, and outcomes across enterprise systems.
• Collaborate with AI Engineers and Data teams to align embeddings, chunking strategies, and vector storage with ontology and semantic design.
• Establish standards for context quality, including evaluation frameworks for relevance, coherence, completeness, and business impact.
• Enable interoperability across AI systems by defining shared context interfaces, schemas, and protocols (e.g., MCP or API-based context services).
• Continuously refine context systems based on agent performance, feedback loops, and operational insights.
• Translate complex semantic and contextual concepts into actionable implementations for both technical and non-technical stakeholders.

Staff AI Engineer, Data Ontologist

AI Research Scientist

• Independently own and execute specific research tasks or sub-projects.
• Design and implement complex experiments to test new hypotheses.
• Analyze and interpret results to draw clear conclusions.
• Contribute high-quality, reusable code to the team's repository.
• Actively contribute to improving the internal benchmark by identifying data gaps and proposing new evaluation metrics.

AI Research Engineer

Backend Engineer

• Develop backend services in Python
• Implement RAG pipelines using ChromaDB and vector databases
• Design data models with Pydantic
• Build and maintain CI/CD and DevOps workflows
• Ensure scalability, reliability, and performance

Intermediate Python Developer

Software Engineer

• Build and deploy creative and impactful emails using HTML/CSS in conjunction with our email deployment tools.
• Create well designed and easy to use email templates and content blocks that can be leveraged for future deployments
• Develop thoughtful strategies to improve email engagement rates using automation, journey builds, personalization, and other tools in our martech stack
• Embrace continued learning and optimization by recommending and implementing A/B testing
• Ensure campaign accuracy, timeliness, and impact by collaborating with team members and stakeholders
• Aid in managing email deliverability, database hygiene, subscription management, and compliance with policy on opt-in/out
• Proactively report on email marketing trends to provide innovative email channel recommendations

Email Campaign Developer

QA Engineer

• Develop and maintain test automation frameworks using Selenium and Java.
• Design, write, and execute test scripts for functional, regression, and performance testing.
• Conduct both manual and automated testing for web and API-based applications.
• Identify, document, and track bugs and defects using tools like JIRA, TestRail, or Zephyr.
• Collaborate with development and DevOps teams to integrate automated tests into CI/CD pipelines.
• Perform API testing using Postman, RestAssured, or similar tools.
• Validate database interactions using SQL queries to ensure data integrity.
• Work in an Agile/Scrum environment, actively participating in sprint planning and stand-up meetings.
• Continuously enhance and optimize test automation strategies and frameworks.
• Provide technical guidance on best testing practices to development teams.

QA Automation

Customer Success Manager

• Deliver billable managed services for Zendesk and Zendesk Contact Center, focused on platform health, adoption, and measurable outcomes
• Manage a portfolio backlog of optimization, maintenance, and enhancement requests, including intake, scoping, prioritization, and progress updates
• Respond to reactive requests while providing proactive recommendations to improve performance and adoption
• Coordinate escalations and high-impact issues, communicating clearly and driving resolution to maintain customer confidence
• Lead discovery and needs assessments to understand support goals, pain points, and constraints
• Advise clients on best practices across ticket lifecycle, SLAs, routing, escalation, and agent workflows
• Translate operational recommendations into practical platform changes and process improvements
• Configure and optimize Zendesk capabilities across Support, Guide, Messaging, and voice or contact center workflows
• Build and maintain workflows using Zendesk configuration tools such as triggers, automations, views, macros, and forms
• Manage configuration changes with testing, validation, and clear documentation
• Drive adoption and optimization of Zendesk AI capabilities, including Copilot, AI Agents, automation, and QA features
• Improve assisted resolution through AI-supported summaries, suggested replies, and agent guidance
• Improve automated resolution through effective bot experiences, containment, and handoff to agents
• Monitor AI performance and quality, then tune workflows and knowledge sources to improve results over time
• Deliver billable AI expert advisory engagements that help clients define use cases, success metrics, and an AI adoption roadmap
• Provide phased guidance across AI rollout, expansion, and ongoing optimization to improve automated and assisted resolution
• Build and maintain dashboards and reporting to track volume, backlog, resolution performance, and key support KPIs
• Analyze ticket and CSAT data to identify trends, root causes, and improvement opportunities
• Deliver training and workshops for admins, leaders, and agents to support adoption of new workflows and AI features
• Create and maintain practical documentation including runbooks, playbooks, and configuration notes
• Troubleshoot issues across configuration, routing, APIs, and webhooks, and coordinate escalation to engineering when needed

Customer Success Consultant

Account Executive

• Own and advance a pipeline of large, complex enterprise deals
• Build trusted, consultative relationships with stakeholders
• Develop and execute tailored account strategies
• Lead strategic deal planning
• Maintain rigorous pipeline hygiene and forecast accuracy

Senior Account Executive, AGI/GenAI Builders

Business Development Rep

• Lead an internal strategy engagement focused on one of TELUS Digital’s core business lines
• Develop a forward-looking GTM strategy for TELUS Digital’s expansion in the Middle East
• Work alongside senior BD team members on live pursuits and client engagements

Business Development Intern – Summer 2026

Sales

• Product Configuration: Bundles, features, and options.
• Pricing Methods: Block, tiered, volume, and discount schedules.
• Lifecycle Processes: Amendments and renewals.
• Technical Expertise: Implement complex pricing logic.
• Salesforce Development: Manage integrations and processes.

Applications Development Module Lead – Salesforce CPQ

Product Manager

• Help clients define product vision and user objectives, maintaining strong client relationships
• Work with internal and external team members to define feature lists that align with the client's strategy
• Collaborate with cross-functional teams to iteratively build solutions that are in line with time and budget constraints
• Facilitate conversations around scope management and feature prioritization
• Elicit requirements from stakeholders and manage complex requirement backlogs that consider multiple platforms
• Build a shared understanding of product requirements among all stakeholders (internal and external)
• Understand and advocate for the end-user’s needs
• Contributes to a strategic product roadmap that prioritizes features according to the client's vision
• Work alongside engineers to understand system architecture and data flows to guide feature development
• Manage and document technical dependencies and API needs for use in feature implementations
• Collaborate with product designers and engineers to create best-in-class user experiences that are feasible and within technical constraints

Technical Product Lead

Architect

• Lead, delegate, and provide oversight for a cross-functional team of product analytics practitioners
• Provide meaningful team leadership and strategic project guidance across 1-2 client projects
• Build trust and credibility with clients through empathy and open communication
• Advocate for analytics best practices with clients
• Collaborate with other analytics leaders to influence TELUS Digital’s service offering
• Develop and lead workshops with clients to understand their business goals