Staff AI Engineer

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, Africa, 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. The Opportunity TELUS Digital seeks a talented AI Engineer, driven to implement autonomous, intelligent, and analytical AI solutions that address complex business challenges. Your role is essential in bringing sophisticated Generative AI and Software Engineering concepts and architectures into tangible, production-ready applications, enhancing digital products through autonomy, intelligence, and real-time adaptation. Location and Flexibility This role can be fully remote for candidates based in Brazil, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule. Responsibilities Own the end-to-end architecture of AI-powered systems, including Generative AI, agentic workflows, and multi-agent ecosystems, ensuring scalability, modularity, and performance. Design and standardize multi-agent coordination, context/memory strategies, and human-in-the-loop interactions across the organization. Lead decisions on model selection and architecture trade-offs, balancing latency, cost, accuracy, and scalability; define evaluation frameworks, governance, and safety guardrails. Design data architectures for AI systems, including embedding strategies, vector databases, and context pipelines for large-scale unstructured data. Ensure production readiness of AI systems through CI/CD, containerized deployment, cloud integration, observability, and reliability engineering. Act as a technical leader: mentor engineers, advise on architecture, and communicate trade-offs clearly to technical and executive stakeholders; collaborate across engineering, data, product, and operations to align AI architecture with business goals. Drive innovation by evaluating emerging models, frameworks, and architectural paradigms, and incorporate them into TELUS Digital's AI ecosystem. Qualifications Proven experience architecting AI systems, with a strong software engineering background (Python/Django, Java/Spring, TypeScript/Express) and API integration/orchestration. Hands-on experience with agentic orchestration frameworks (LangGraph, Google ADK, OpenAI Agents SDK, CrewAI), tool-calling, MCP, and RAG. Experience with evaluation and observability tools (RAGAS, LangSmith, Arize, Braintrust) to assess AI system performance. Expertise in embeddings, vector databases, and chunking strategies, with an understanding of their trade-offs. Experience with CI/CD, containerization/orchestration (Kubernetes), and cloud AI services (AWS Bedrock, Azure AI) for scalable, high-throughput, low-latency, secure deployments. Excellent prompt and context engineering skills, and the ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus Points Experience with Context Engineering and modern context enhancement features such as Claude Skills. Experience building GenAI-based data analysis pipelines for large unstructured datasets, combined with advanced agentic AI architecture, ML performance optimization, and integration of AI into larger software ecosystems. Completed certifications in Data & AI from a major cloud provider (AWS, Azure, or GCP). Why TELUS Digital? At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter. We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale. In addition to being part of an international and innovative consultancy company, you will have: A Global Innovation Hub: Be part of an international consultancy at the forefront of technology Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path Global Exposure: Embrace optional international travel opportunities to broaden your horizons Some of our benefits: Health and dental plan Life insurance Monthly voucher for meals, culture, education, health and mobility Child care assistance and more! Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy .