JD is as below: Target ex-Microsoft or Ex-Amazon candidates , there are lot of AI resources came out from these companies. Must Have 7+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.

Strong

Python development skills and ability to build production-grade applications. Hands-on experience with Azure OpenAI, OpenAI, Anthropic, or similar LLM platforms.

Experience designing and orchestrating multi-agent systems, planning agents, workflow agents, and tool-using agents. Deep understanding of RAG, vector databases, semantic search, memory, and evaluation frameworks.

Experience integrating AI into enterprise systems such as SAP, Oracle, Snowflake, Databricks, APIs, and business workflows.



Ability to work directly with business leaders to translate operational problems into AI solutions.

Experience building AI products from proof-of-concept through production deployment. Solid communication skills with executive-facing and business-facing stakeholders.

Preferred Supply

Chain, Manufacturing, Procurement, Logistics, Planning, or Operations experience.

Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.

Experience with AI observability, evaluation, governance, safety, and human-in-the-loop controls.

Background leading small AI teams or technical workstreams

📌 Lead Applied AI Scientist (Toronto)
🏢 S-Solutions Inc- a SyeDyn
📍 Toronto