Senior AI Developer
Lenovo · Toronto, CA
Job description
General Information
Req #
WD00099514
Career area:
Artificial Intelligence
Country/Region:
Canada
State:
Ontario
City:
Markham
Date:
Tuesday, June 9, 2026
Working time:
Full-time
Additional Locations:
- Canada - Ontario - Markham
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
We are seeking a talented and experienced Senior AI Developer to design, implement, and scale out an Agentic AI platform built on Intel CPU/GPU/NPU and edge infrastructure. This role focuses on building a foundation platform that enables both developers and non-technical users to create, orchestrate and deploy AI agents using Intel AI super builder, MCP-based workflows and multimodal AI pipelines. You will work across the full lifecycle of AI systems – from agent creation and orchestration to multimodal processing and business outcome optimization – ensuring solutions are scalable, reliable and production -ready across edge and cloud environments.
This role sits within Lenovo’s Solutions & Services Group (SSG), the global organization that brings together our end‑to‑end AI solutions and services to turn customer vision into value. You'll be joining a new distributed engineering team which extends Personal agentic platforms like OpenCLAW, Hermes etc. into AI native personal delivery platforms that powers Lenovo's Agentic AI strategy across Hybrid cloud, on-Prem and edge.
Key Responsibilities:
Platform and Architecture
- Design and develop a scalable Agentic AI platform leveraging Intel AI super builder and MCP based architectures
- Build end to end systems including Agent frameworks, orchestration layers, inference pipelines and user interfaces
- Integrate AI solutions across edge, on-premise and cloud environments
Agent Frameworks and workflow orchestration
- Develop and Extend MCP-based work flow orchestration and Data ingestion systems
- Implement Trigger-based workflows ( Scheduled RAG + MCP pipelines)
- Multi-agent Coordination pipelines ( eg : evaluate à summarize à score)
- Seamless integration of multiple data source and MCP servers
- Build reusable agent templates and tools
Multimodal AI systems
- Develop multi modal AI pipelines for
-
- Audio ( transcription, summarization, chapterization)
- Video ( CCTV/Ring-style summarization, event detection)
- Vision-language reasoning (VLM-based systems)
- Implement orchestration and validation pipelines for multimodal workflows
- Optimize inference for edge deployment on Intel CPU/GPU/NPU platforms
Business-oriented Agents
- Build domain-specific AI agents aligned to measurable business outcomes, including
-
- Staff interaction tracking
- Customer journey intelligence
- Translate AI outputs into business KPIs and actionable insights
- Collaborate with stake holders to align AI systems with revenue, efficiency and customer experience goals
Control plane, GenAIOps and performance optimization
- Design and implement a centralized control plane for Agent orchestration, routing scheduling and life cycle management
- Design and reliability agent for monitoring, evaluation, guardrails
- Maximize utilization across Intel CPU/GPU/NPU and dynamically schedule workloads
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years in AI/ML system development across domains (NLP, CV, Multimodal AI)
Preferred Qualifications:
- 2+ years of experience in developing Generative AI / Agentic AI systems in production environments
- Strong experience with
-
- LLMs, SLMS, VLMS
- Agent orchestration frameworks ( MCP or similar paradigms)
- Experience building multi-agent systems and workflow pipelines
- Knowledge of RAG architectures and vector databases
Systems and Infrastructure
- Experience with Edge + on prem + cloud deployments
- Kubernetes and containerized environments
- Familiarity with Intel AI stack ( Open Vino, CPU/GPU optimization) is a plus
- Experience with NVIDIA stack ( CUDA, TensorRT) is a plus
Programming
- Strong coding skills in Python ( Mandatory)
- Frontend frameworks ( React or similar)
- Scripting and automation tools
What Makes this role Unique
- Opportunity to build production -grade Agentic AI platform on Intel Hardware
- Work across
-
- Agent orchestration ( MCP)
- Multimodal AI systems
- Edge-to-cloud deployment architectures
- Direct impact on business KPI-driven applications in real -world environments
If you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us!
Additional Locations:
-
Canada - Ontario - Markham
-
Canada
-
Canada - Ontario
-
Canada - Ontario - Markham
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