Staff 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.

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

• Define and own the architecture of AI-powered systems, including Generative AI, agentic workflows, and multi-agent ecosystems, ensuring scalability, modularity, and performance.

• Design orchestration patterns for integrating LLMs with enterprise systems, APIs, data platforms, and tools, leveraging approaches such as tool-calling, RAG, and hybrid reasoning frameworks.

• Architect and standardize agentic AI systems, including multi-agent coordination, context management, memory strategies, and human-in-the-loop interactions.

• Establish architectural patterns and standards for Model Context Protocol (MCP), tool integration, and agent interoperability across platforms.

• Define evaluation frameworks and governance models for AI systems, including performance metrics, safety guardrails, observability, and continuous improvement loops.

• Lead decisions on model selection, architecture trade-offs, and system design, balancing latency, cost, accuracy, and scalability requirements.

• Design data architectures to support AI systems, including embedding strategies, vector databases, context pipelines, and large-scale unstructured data processing.

• Ensure production readiness of AI systems through scalable deployment patterns, CI/CD integration, monitoring, and reliability engineering practices.

• Collaborate with engineering, data, product, and operations teams to align AI architecture with business objectives and operational KPIs.

• Act as a technical leader and advisor, communicating architectural decisions, trade-offs, and system behavior clearly to both technical and executive stakeholders.

• Drive innovation by evaluating emerging technologies, frameworks, and architectural paradigms, and incorporating them into TELUS Digital’s AI ecosystem.

QUALIFICATIONS

• Proven experience designing and deploying AI architectures, with expertise in Generative AI, NLP, LLM integration, and software engineering.

• Strong background in building software platforms (Python/Django, Java/Spring, TypeScript/Express, etc.) capable of API integration and orchestration.

• Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.

• Hands-on experience with function-calling and tools integration into LLM models, leveraging frameworks such as Model Context Protocol (MCP).

• Experience with Agentic AI orchestration frameworks such as LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, or others.

• Expertise in data embeddings, vector databases, and chunking strategies, understanding the trade-off between different options, and leveraging it to optimize data ingestion and application performance.

• Experience using CI/CD tools (GitHub Actions, Jenkins, AWS CodeDeploy, Azure Pipelines) to streamline development and deployment workflows.

• Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock and Azure AI Services.

• Experience leveraging evaluation frameworks (e.g., RAGAS, OpenAI Eval) and tools (e.g., Arize, LangSmith, Braintrust) to assess business and performance metrics of AI solutions.

• Understanding of performance optimization, including the use of observability platforms, event tracking, and performance validation.

• Practical knowledge of deploying AI solutions using cloud platforms like AWS, Azure, or GCP, utilizing services such as AWS Bedrock or Azure AI Services.

• Excellent skills in prompt and context engineering, ensuring the usage of the right techniques to meet diverse project requirements.

• Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

BONUS POINTS

• Experience with Context Engineering and modern context enhancement features such as Claude Skills.

• Previous experience building GenAI-based data analysis pipelines for large unstructured datasets.

• 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.

• Completed certifications around the Data & AI field in any of the major cloud providers (e.g., GCP, AWS, Azure).

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 https://www.telusdigital.com/privacy-policy.