Forward Deployed AI Data Engineer
Onsite Toronto forward-deployed engineer building enterprise AI and data solutions with client teams: batch/real-time/streaming pipelines, Claude-powered copilots and agentic RAG workflows, plus MLOps/LLMOps to production. Core stack: Python, PySpark, SQL, FastAPI, Claude/LLM tooling.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Full description
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.