AI / Agentic Architect
About the role
Position: AI / Agentic Architect Location: Toronto, ON (Onsite) Employment Type: Full-Time Total Experience: 10 + years
Role Summary: Designs and governs multi-agent AI architecture for vulnerability triage and automated remediation using Vertex AI GPT Claude.
Key Responsibilities: • Design multi-agent architecture (triage agents, remediation agents, judge agent) • Build LLM orchestration (Vertex AI Lang Chain Agent frameworks) • Define RAG pipelines using secure coding knowledge packs • Establish model evaluation framework (accuracy, false positives, latency) • Design agent memory (vector DB, knowledge graph) • Implement prompt engineering, chaining, tool usage delegation • Define model versioning, evaluation harness, and governance
Required Skills: • Vertex AI, GCP AI services, prompt engineering LLM (GPT, Claude, Gemini), Lang Chain Semantic • Kernel Vector DB (Pinecone, FAISS, Vertex embeddings) • Python, ML pipelines AI Agentic Expectations Deep expertise in • Multi-agent collaboration LLM judge scoring models Autonomous decision making fallback logic • Design secure, explainable AI outputs
About K&K Global Talent Solutions INC.
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AI / Agentic Architect
About the role
Position: AI / Agentic Architect Location: Toronto, ON (Onsite) Employment Type: Full-Time Total Experience: 10 + years
Role Summary: Designs and governs multi-agent AI architecture for vulnerability triage and automated remediation using Vertex AI GPT Claude.
Key Responsibilities: • Design multi-agent architecture (triage agents, remediation agents, judge agent) • Build LLM orchestration (Vertex AI Lang Chain Agent frameworks) • Define RAG pipelines using secure coding knowledge packs • Establish model evaluation framework (accuracy, false positives, latency) • Design agent memory (vector DB, knowledge graph) • Implement prompt engineering, chaining, tool usage delegation • Define model versioning, evaluation harness, and governance
Required Skills: • Vertex AI, GCP AI services, prompt engineering LLM (GPT, Claude, Gemini), Lang Chain Semantic • Kernel Vector DB (Pinecone, FAISS, Vertex embeddings) • Python, ML pipelines AI Agentic Expectations Deep expertise in • Multi-agent collaboration LLM judge scoring models Autonomous decision making fallback logic • Design secure, explainable AI outputs