São Paulo-SP, Brazil or Porto Alegre-RS, Brazil
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.
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.
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.
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
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, Azure, or GCP, utilizing services such as AWS Bedrock or Azure AI Services.
Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
Experience with Agentic AI orchestration frameworks such as Agent Development Kit (ADK), LangGraph, OpenAI Agents SDK, CrewAI, or others.
Experience with advanced Agentic AI architecture, performance optimization of machine learning models, and the integration of AI into larger software ecosystems.
Hands-on experience deploying AI solutions using containers and orchestration platforms such as Kubernetes to ensure scalability, reliability, and efficient resource management.
Experience designing and implementing large-scale data-intensive solutions, maintaining high throughput, low latency, and data security.
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!
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.
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.
TELUS Digital crafts unique and enduring experiences for customers and employees, and creates future-focused digital transformations that stand the test of time. We are the brand behind the brands. Our global team members are both passionate ambassadors of our clients’ products and services, and visionary technology experts resolute in our pursuit to elevate their end customer journeys, solve business challenges, mitigate risks, and drive continuous innovation. Our portfolio of end-to-end, integrated capabilities include digital IT services, such as cloud solutions and AI-fueled automation, trust and safety services, AI data solutions, including expertise in computer vision, and front-end digital design and consulting services. Fuel iX™ is TELUS Digital’s proprietary GenAI engine at the heart of our innovation, helping enterprises advance their GenAI pilots to working prototypes and production at scale, quickly, securely and responsibly across multiple environments, applications and clouds.
Powered by purpose, TELUS Digital leverages technology, human ingenuity and compassion to fuel remarkable outcomes and create inclusive, thriving communities in the regions where we operate around the world. Guided by our Humanity-in-the-loop principles, we take a responsible approach to the transformational technologies we develop and deploy by proactively considering and addressing the broader impacts of our work.
