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.
- Solid 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.
- Strong 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 (Greater Toronto Area)
🏢 S-Solutions Inc- a SyeDyn
📍 Greater Toronto Area