Columbus Ai developer (full stack & power platform) Jobs – 2 Openings This Week

Senior AI Developer
Lenovo —Markham, ON
- Full-time
- Computer Science
- Master's degree
- Databases
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
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Machine Learning Lead, Edge AI Inferencing
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Senior AI Developer

Lenovo
Markham, ON

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Job details

Full-time

Skills

Computer Science
MCP
React
Kubernetes
CCTV
Master's degree
Databases
Bachelor's
Natural language processing
System development
AI
Python

Full 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

Apply Now

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