SENIOR AI ENGINEER
WHO WE ARE
Welcome to TELUS Digital https://www.telusdigital.com/— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS https://www.telus.com/en/, 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.
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.
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 GenAI and Software Engineering concepts and architectures into tangible, production-ready applications, enhancing digital products through autonomy, intelligence, and real-time adaptation.
RESPONSIBILITIES
- Integrate Generative AI models, including LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns.
- Design, develop, and deploy AI workflows and Agentic AI solutions, enabling the seamless orchestration of intelligent agents to plan and perform tasks while leveraging autonomous and/or human-in-the-loop paradigms.
- Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP) and emerging frameworks for agent interoperability.
- Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards.
- Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization.
- Collaborate closely with data experts, orchestrating AI model selection, tuning, and performance validation to meet specific agent-based application needs.
- Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders, promoting tr