Agentic AI Solutions Architect
Location(s): Mississauga, Ontario, Canada
CAD 120K-170K Senior-level Full Time
Tasks
- Build and scale multi tenant agentic ecosystems
- Build hierarchical summary tree retrieval
- Build knowledge graph RAG
- Collaborate with SMEs to translate workflows into automated agents
- Design LLM prompt and intent classification logic
- Develop RAG ingestion and retrieval pipelines
- Develop and optimize intelligent agents using orchestration patterns
- Develop full stack AI platform components
- Implement MCP servers for controlled agent communication
- Integrate agent backend logic with UI and enterprise APIs
- Integrate vector and graph databases
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Angular | Data Ingestion | Experiment tracking | Fine Tuning | Generative AI | Graph Database | GraphRAG | Intent Classification | Knowledge graph | Language Models | Large Language Models | MCP | Machine Learning | Model Context Protocol | Multi-tenancy | Neo4j | PGVector | Prompt engineering | Python | RAG | ReWoo | React | Vector Database
Education
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Lead | Software Architect | Solutions Architect | Technical Lead
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