**Who We Are** -------------- 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. ### **About the Role** We're looking for a **Senior AI Integration Engineer** to serve as the AI "power\-up" for our team. You're not a research scientist, but an expert in leveraging existing AI/ML models and platforms to solve real\-world business problems. You will be responsible for integrating AI capabilities, building and maintaining data pipelines, and understanding the practical applications of generative AI and other models to drive innovation with a founder/startup mentality. ### **Key Responsibilities:** * AI Integration Expertise: Proven experience selecting and integrating appropriate AI models from platforms like Hugging Face, OpenAI, or Vertex AI. You're skilled in prompt engineering and crafting effective API calls to achieve specific business objectives. * Bias for Action: You're a doer who prioritizes tangible outcomes over perfection. You take full ownership of a solution, from initial concept to a deployed, production\-ready state. * Rapid \& Innovative Problem\-Solving: You can quickly dissect complex problems, identify root causes, and formulate pragmatic, creative solutions under pressure. * Data \& Systems: You have experience building robust data pipelines for cleaning, processing, and feeding data to AI models. You can also think holistically about a system and how an AI solution will fit within it. * Ethical \& Communicative: You have a strong awareness of ethical implications and potential biases in AI. You can clearly and concisely articulate complex technical concepts and the rationale behind your decisions to both technical and non\-technical audiences. **Qualifications:** * AI Platform Expertise: Hands\-on experience integrating and deploying pre\-trained AI models. Familiarity with major AI platforms like Hugging Face, OpenAI, Vertex AI, or Amazon SageMaker is highly desirable. * Strong Software Engineering Skills: You're an experienced software engineer with a solid understanding of software development principles, data structures, and algorithms. Proficiency in Python is a must. * Foundational ML Knowledge: A solid understanding of core machine learning concepts, including model training, evaluation, and the potential for bias. * Systems Thinking \& Problem\-Solving: The ability to understand how different components of a system interact and a knack for creative and effective problem\-solving. * Collaborative \& Humble: A strong team player who prioritizes collective success, is willing to learn from others, and can work effectively across different teams. ### **Nice to Have:** ### * Healthcare Experience: Knowledge of the healthcare industry, including its unique data standards, privacy regulations (e.g., HIPAA), and workflows, would be a strong plus. * Frontend Skills: Experience with JavaScript or other frontend frameworks is helpful for building user interfaces that interact with AI\-powered APIs. * Data Expertise: Experience working with different types of data, including structured and unstructured data like text, images, or audio. ### **What’s in it for you** * Private medical and life insurance from day one. * Professional growth budget for certifications and training. * Flexible work schedule. * Performance\-based bonuses.