Manager, Data Science – AI Engineering

TELUS Digital

AI Engineering Manager responsible for leading engineers on data-driven AI solutions. Work for TELUS Digital globally, fostering innovation and collaboration.

Posted 5/25/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health and dental plan
Life insurance
Monthly voucher for meals, culture, education, health and mobility
Child care assistance and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceSoftware EngineeringGenerative AINatural Language Processing (NLP)Large Language Models (LLMs)AI architecture designPythondata strategydata governanceAgile methodologies

Soft Skills

technical guidancementoringcollaborationteam autonomyproactive engagementcommunicationproblem-solvingcoachingfeedbackrelationship management