Generative AI solutions engineering meets Python, React, and AWS across scalable products, pilots, and emerging technology initiatives. This role owns end-to-end delivery.
The Artificial Intelligence Engineer leads development of Gen AI products and solutions. You will design LLM pipelines, Agentic AI, MCP, and Graph/RAG architectures. The work includes cloud-native implementation, experimentation, stakeholder collaboration, and technical roadmap input.
Key Responsibilities: Lead development of maintainable AI products, pilots, and solutions
Architect scalable Gen AI and prompt-based applications
Implement AWS solutions using EKS, Lambda, Fargate, Glue, and Athena
Optimize performance, metrics, incidents, and operational reliability




Own milestones and delivery through Agile Scrum or Kanban
Requirements: Six-plus years of progressive engineering experience
One to two years leading AI or emerging technology initiatives
Experience with GPT, Claude, Gemini, LLaMA, and prompt engineering
Knowledge of LangChain, LlamaIndex, or Amazon Bedrock
Familiarity with DevSecOps, Terraform, Docker, and containerized deployments
Apply generative AI, AWS, Python, and architecture expertise to deliver scalable enterprise solutions and guide technical direction.

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📌 Generative AI Solutions Engineer (Manitoba)
🏢 TMT IT Solutions
📍 Manitoba