Robotics Automation Engineer

TELUS Digital

5d • $104,800 - $131,000 • Remote

About The Position

Shape the future of intelligent automation as an innovative, detail-oriented Automation Engineer (Robotics) at TELUS Digital! In this role, you will collaborate closely with world-class Quality Specialists, leveraging established rubrics and industry-leading standards for robotics data collection and annotation from design, integrate, and manage scalable, human-in-the-loop workflows. By bridging cutting-edge AI models, tools, and services, you will turn complex business needs into high-impact, AI-driven solutions. Our ideal candidate pairs strong technical expertise in AI/ML and modern orchestration frameworks with exceptional problem-solving and strategic thinking, ensuring our robotics initiatives are seamlessly deployed, optimized, and continuously elevated.

Requirements

• Previous experience in Robotics training pipelines from Automation and HITL perspectives.
• 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration.
• Experience in GenAI/LLM orchestration is a strong plus.
• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience).
• Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar).
• Strong data insights and programming skills (Python preferred) for building and integrating orchestration pipelines.
• Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment.
• Strong problem-solving and analytical skills to optimize workflows.
• Excellent communication and collaboration skills to work across technical and non-technical teams.

Responsibilities

• Design and build an automation and HITL pipeline for high quality egocentric data collection and annotation.
• Monitor and optimize AI pipelines, addressing bottlenecks, errors, and inefficiencies.
• Rapidly iterate AI pipelines based on customer requirements.
• Collaborate with data scientists, engineers, and business stakeholders to define use cases and translate them into orchestrated AI solutions.
• Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management.
• Document processes, technical architectures, and orchestration standards for knowledge sharing.
• Design and implement orchestration pipelines that connect multiple GenAI models, APIs, and tools into end-to-end workflows.
• Stay updated on advancements in AI orchestration, LLMs, and automation tools to continuously enhance solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level