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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