Posted 13 months ago
Senior Principal Software Engineer - AI Multi-Agents
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring a Senior Principal Software Engineer for its Distributed Scheduling and Data Engine Lab to design, build and scale AI multi-agent systems on cloud platforms. The role leads end-to-end multi-agent evaluation and agent coordination work, and involves overseas travel. It is a full-time permanent position.
Responsibilities:
- Design and deploy multi-agent evaluation systems on cloud platforms
- Explore and implement agent coordination strategies
- Integrate GenAI solutions into cloud service features
- Conduct technical research and assist in deliveries
- Collaborate with a global team of AI researchers
Requirements summary:
- 5+ years of AI experience, 2 years in production agentic AI
- Proven experience with AI agent workflows and multi-agent collaboration
- Expertise in deep learning for NLP and LLMs
- Strong Python, algorithms and data structures
- Master's degree in computer science or AI required; PhD an asset
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2025-10-24
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Travel | air: moderate |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (preferred) |
| Fields of study | Computer science, Artificial intelligence |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- Huawei Finland R&D
- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
| View page |
Huawei Canada has an immediate permanent opening for a Principal Software Engineer.
About the team:
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud multi-agent system, cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the job:
Lead end-to-end design and deployment of multi-agent evaluation systems on cloud platforms, explore and implement agent coordination strategies, such as reinforcement learning, hierarchical planning, or emergent communication.
Design, build, and scale next-generation AI Multi-Agent systems to enable intelligent collaboration, planning, and autonomous execution.
Stay ahead of AI agent research trends, integrating new models, techniques, and orchestration methods to push technical boundaries.
Collaborate closely with a global team of experts, including AI researchers, to integrate advanced AI features into existing solutions.
Analyze, investigate, and implement GenAI solutions for Cloud Service features and technologies focusing on Agentic Orchestration and Agent Builder frameworks.
Conduct technical research and implementation and assist in development and deliveries.
This role involves overseas travel
About the ideal candidate:
5+ years of professional experience in AI-related fields, including deep learning, NLP, and Gen AI, with 2 years focused on designing and deploying production-grade agentic AI solutions, as well as hands-on expertise with cloud platforms (AWS, Azure, etc.)
Proven experience designing or orchestrating AI Agent workflows, including Agentic Orchestration and Multi-Agent Collaboration.
Expertise in Deep Learning for NLP, including architectures like RNN, LSTM, GRU, and frameworks such as PyTorch or TensorFlow.
Proficiency in Generative AI techniques — Transformers, LLM fine-tuning, (Graph) RAG, and Vector Databases.
Deep understanding of Large Language Models (LLMs) and their application in agentic reasoning and automation.
Strong foundation in algorithms, data structures, and object-oriented programming, with proficiency in Python.
Excellent communication and organization skills, attention to detail, and with the ability to manage complex projects in a fast-paced environment.
Master’s degree in computer science, Artificial Intelligence, or a related field; PhD degree is an asset.
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