TELUS Digital is hiring a Senior AI Engineer

TELUS Digital seeks a Senior AI Engineer to implement autonomous, intelligent, and analytical AI solutions that address complex business challenges. You will focus on bringing sophisticated Generative AI and Software Engineering concepts into production-ready applications to enhance digital products through autonomy, intelligence, and real-time adaptation.

What You'll Do

• Integrate Generative AI models, including LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns.
• Design, develop, and deploy AI workflows and Agentic AI solutions to orchestrate intelligent agents that plan and perform tasks.
• Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP).
• Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety.
• Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices.
• Collaborate closely with data experts to orchestrate AI model selection, tuning, and performance validation.
• Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders.

What We're Looking For

• 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) 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).
• Expertise in data embeddings, vector databases, and chunking strategies 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 (RAGAS, OpenAI Eval) and tools (DeepEval, LangSmith, Braintrust) to assess business and performance metrics.
• Understanding of performance optimization, including the use of observability platforms, event tracking, and performance validation.
• Excellent skills in prompt and context engineering.
• Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

Nice to Have

• Experience with Agentic AI orchestration frameworks such as Agent Development Kit (ADK), LangGraph, OpenAI Agents SDK, or CrewAI.
• 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.
• Experience designing and implementing large-scale data-intensive solutions, maintaining high throughput, low latency, and data security.

Technical Stack

• Languages & Frameworks: Python, Django, Java, Spring, TypeScript, Express
• Cloud & AI Services: AWS, Azure, GCP, AWS Bedrock, Azure AI Services
• Infrastructure & Tools: Kubernetes, GitHub Actions, Jenkins, AWS CodeDeploy, Azure Pipelines
• Evaluation Tools: RAGAS, OpenAI Eval, DeepEval, LangSmith, Braintrust
• Protocols: Model Context Protocol (MCP)

Benefits & Compensation

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

Work Mode

This is a global position open to candidates located in Brazil.

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.