Design scalable LLM solutions on Google Cloud using Vertex AI, BigQuery, and robust software engineering practices for production delivery. This Senior LLM Solutions Engineer role focuses on enterprise AI applications across architecture, integration, deployment, and support. You will use Python, Google Cloud services, RESTful APIs, and agentic AI frameworks. You will also apply security, privacy, governance, and responsible AI controls.

Key Responsibilities: Design cloud-based AI architectures using Vertex AI and BigQuery Develop enterprise services and RESTful APIs in Python Integrate MCP tools with systems, APIs, and data sources Implement monitoring, tracing, and observability with Langfuse Improve reliability, scalability, performance, and response quality Requirements: Hands-on Google Cloud experience with Vertex AI and BigQuery Experience building, deploying, and supporting LLM applications Understanding of MCP and enterprise tool integration Experience with FastAPI, Flask, automated testing, Git, and CI/CD Understanding of security, privacy, responsible AI, and governance Use cloud architecture, Python APIs, MCP integration, and observability to deliver governed, scalable LLM solutions.

📌 Senior Solution Engineer - Security (Toronto)
🏢 EnableIT
📍 Toronto