[Hiring] Senior Staff AI Engineer (Architect) @TELUS Digital

Role Description

TELUS Digital is seeking an AI Architect to lead the design and evolution of enterprise-grade AI systems that power intelligent, scalable, and production-ready solutions. This role is responsible for defining end-to-end AI architectures, shaping agentic systems, and enabling the integration of Generative AI into complex digital ecosystems. You will operate at the intersection of AI, software architecture, and business strategy, ensuring that advanced AI capabilities translate into measurable operational and customer impact. This includes architecting systems that are modular, observable, secure, and optimized for real-time and large-scale environments.

Responsibilities

• Integrate Generative AI models, such as LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns.
• Design, develop, and deploy AI workflows and Agentic AI solutions, enabling the seamless orchestration of intelligent agents to plan and perform tasks while leveraging autonomous and/or human-in-the-loop paradigms.
• Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP), and emerging frameworks for agent interoperability and access to external resources.
• Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards.
• Evaluate, analyse, and gather insights out of structured and non-structured data leveraging Generative AI models and pipelines.
• Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization.
• Orchestrate AI model selection, tuning, and performance validation to meet specific agent-based application needs.
• Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders, promoting transparency and trust in AI delivery.
• Foster an environment of innovation and collaboration, engaging and encouraging teams to solve complex problems and share ideas that drive innovative approaches.

Qualifications

• Proven experience designing and scaling complex AI systems, with strong expertise in Generative AI, LLM architectures, and distributed systems.
• Strong background in software and platform architecture, with experience designing API-driven, modular, and extensible systems.
• Deep understanding of orchestration patterns for LLMs, including tool-calling, RAG pipelines, memory systems, and agent coordination frameworks.
• Experience architecting or implementing agentic AI systems using frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Google ADK, or similar.
• Strong knowledge of data architecture for AI, including embeddings, vector databases, chunking strategies, and retrieval optimization.
• Experience with evaluation frameworks and observability tools (e.g., RAGAS, OpenAI Eval, Arize, LangSmith, Braintrust), and defining system-level metrics.
• Hands-on experience with cloud platforms (preferably GCP) and AI services (e.g., Vertex AI), with a focus on scalable and secure deployments.
• Experience designing systems with CI/CD pipelines, monitoring, logging, and performance optimization at scale.
• Strong understanding of security, governance, and responsible AI practices in production environments.
• Ability to translate complex AI architectures into clear technical and business narratives for diverse stakeholders.

Bonus Points

• Experience defining enterprise-wide AI architecture standards and governance models.
• Background in context engineering and advanced context orchestration techniques.
• Experience designing real-time AI systems, including streaming data pipelines and low-latency inference architectures.
• Familiarity with containerization and orchestration platforms such as Kubernetes.
• Experience building large-scale, data-intensive platforms with high throughput and strict reliability requirements.
• Holds any Google Cloud associate or professional certifications on architecture or Data & AI roles.

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.