[Hiring] Staff AI Engineer @TELUS Digital

Role Description

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.

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).

Benefits

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