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AI ENGINEERING MANAGER São Paulo-SP, Brazil or Porto Alegre-RS, Brazil WHO WE ARE Welcome to TELUS Digital, where innovation meets impact. As an award-winning digital product consultancy, we're shaping the future of digital experiences through cutting-edge technology, agile thinking, and a culture that puts people first. We are the global digital section of TELUS, one of Canada’s largest telecommunications providers. Our global teams deliver transformative digital solutions and customer experiences for industry leaders in consumer electronics, finance, telecommunications, and utilities. With robust multi-shore delivery capabilities, multi-language programs, and secure infrastructure, we ensure exceptional service backed by our multi-billion-dollar parent company. LOCATION AND FLEXIBILITY This is a hybrid role. This model requires the ability to work in a hybrid mode from one of our offices in São Paulo (2 times/ week or 8 days/ month) or Porto Alegre (3 times/ week or 12 days/ month). Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices. THE OPPORTUNITY As an AI Engineering Manager, you’ll be responsible for leading a group of talented cross-functional engineers (e.g., data scientists, data engineers, AI engineers, etc) building amazing data and AI-powered products for our clients, and you’ll help them achieve their personal and professional goals. You’ll also drive the team and our clients to use cutting-edge techniques and processes for the development of data solutions, and use your technical prowess to shape our deliveries. Success looks like an energized, happy team building high-quality data science and AI solutions for eager, engaged client stakeholders. RESPONSIBILITIES - Provide technical guidance to teams and projects for international clients - Work alongside Data Scientists, Data Engineers, and AI Engineers in data and AI projects - Lead and mentor cross-functional engineers to deliver high-quality solutions while fostering collaboration and growth. - Support strategy teams in identifying and implementing robust AI and data strategies to solve business challenges. - Stay up-to-date with Data & AI trends, tools and frameworks, introducing innovations and process improvements to teams when appropriate. - Maintain strong relationships with clients and internal teams, advocating for the best use of AI and Data practices QUALIFICATIONS - 7+ years of professional experience in Data Science or Software Engineering, alongside a minimum of one year of experience in GenAI engineering, developing AI solutions. - You are driven by curiosity and enthusiasm about learning new technologies. - Foster team autonomy and proactive engagement. - Proven experience designing and deploying AI architectures, with expertise in Generative AI, NLP, LLM integration, and software engineering. - Have strong technical expertise in Software Engineering and coding best practices, proficiency in Python is preferable. - Have a deep understanding of Data Science, especially in the field of Generative AI, being used to concepts such as LLMs, RAGs, and Agentic AI. - Have experience in data strategy and governance techniques, driving clients to the successful implementation of data and AI solutions. - Have led a group of engineers building solutions and have been responsible for growing the people on the team through goal-setting, coaching, and feedback. - Are comfortable having difficult conversations and always have your clients' and teammates' best interests in mind. - Have familiarity with Agile techniques for managing work, quality assurance, testing, and LLM evaluation. - Can simplify and communicate about complex problems around technology, business processes, user experience, and development tasks. - Practical knowledge of deploying AI solutions using cloud platforms like AWS,