Staff AI Engineer
TELUS DigitalResponsibilities
- Own the end-to-end architecture of scalable, modular, and performant AI-powered systems using generative AI, agentic workflows, and multi-agent ecosystems.
- Design and standardize multi-agent coordination, context and memory strategies, and human-in-the-loop interactions.
- Lead model-selection and architecture trade-off decisions involving latency, cost, accuracy, scalability, evaluation, governance, and safety guardrails.
- Design data architectures involving embeddings, vector databases, chunking strategies, and context pipelines for large-scale unstructured data.
- Ensure production readiness through CI/CD, containerized deployment, cloud integration, observability, and reliability engineering.
- Mentor engineers, advise on architecture, communicate technical trade-offs, and collaborate with engineering, data, product, and operations teams.
- Evaluate emerging models, frameworks, and architectural paradigms and incorporate suitable approaches into the AI ecosystem.
Requirements
- Proven experience architecting AI systems and a strong software engineering background with Python/Django, Java/Spring, or TypeScript/Express, including API integration and orchestration.
- Hands-on experience with LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, tool-calling, MCP, and RAG.
- Experience using RAGAS, LangSmith, Arize, or Braintrust for AI-system evaluation and observability.
- Expertise in embeddings, vector databases, and chunking strategies, including their trade-offs.
- Experience with CI/CD, Kubernetes, containerization and orchestration, and AWS Bedrock or Azure AI for scalable, high-throughput, low-latency, secure deployments.
- Strong prompt and context engineering skills and the ability to explain complex AI concepts to technical and non-technical stakeholders.
- Experience with context enhancement features such as Claude Skills is a bonus.
- Bonus qualifications include building GenAI data-analysis pipelines for large unstructured datasets, advanced agentic AI architecture, ML performance optimization, and integrating AI into larger software ecosystems.
- Completed Data & AI certifications from AWS, Azure, or GCP are a bonus.
Benefits
- Fully remote for candidates based in Brazil, with flexible office work available in São Paulo and Porto Alegre.
- Flexible hours and autonomy to support work-life balance.
- Health and dental plan, life insurance, and a monthly voucher for meals, culture, education, health, and mobility.
- Child care assistance and optional international travel opportunities.
- International collaboration, work with well-known global brands, access to cutting-edge technology, and career development opportunities.
Tech Stack
Categories
About TELUS Digital
At TELUS, our purpose-driven team works together every day to innovate and do good. From providing technology solutions that make our lives safer and easier, to supporting those who need it most, our inclusive, spirited and giving people are passionate about empowering our customers, communities and each other to thrive in our digital world. A company that helps you be your best self at home and at work: Find a place where you truly belong, your opinions are valued and you can be your best self. A career that ignites your full potential: Get the guidance and support you need to explore your interests, build your skills and get where you want to go. A culture that goes beyond the expected to strengthen communities and the planet: Seize the opportunity to make a difference in our communities and do good for our planet as part of our purpose-driven team. An innovative team committed to solving complex, real world problems: Join a digitally-enabled workforce that’s pushing the boundaries to create sustainable change. We're always building Canada, join us at www.telus.com/careers