Python, PySpark, and Claude expertise define this onsite Toronto engineering role. Build enterprise AI and data solutions with client teams.

This experienced Forward Deployed Engineer combines data engineering, AI application development, LLM integration, and MLOps. You will design architectures, prototype with client data, and operationalize production solutions. The work spans SQL, REST APIs, RAG, cloud data platforms, and measurable business outcomes.

Key Responsibilities: Design enterprise AI and data applications

Collaborate with business and technology stakeholders

Build scalable batch, real-time, and streaming pipelines

Develop Claude-powered copilots and agentic workflows

Operationalize MLOps, monitoring, and production support

Requirements: 10–14 years in data engineering and AI development

Expertise in Python, PySpark, SQL, REST APIs, FastAPI

Experience with Claude, RAG, vector databases, semantic search

Hands-on MLOps, LLMOps, MLflow, CI/CD, and deployment automation

Willingness to work onsite and travel when required

Apply your Python, Claude, MLOps, and client-facing engineering expertise to production AI delivery in Toronto.

📌 Forward Deployed AI Data Engineer (Toronto)
🏢 Realign
📍 Toronto