Solutions Architect
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location:
Toronto, ON (Hybrid Onsite)
Job description
Principal AI Solution Architect – Agentic AI & Enterprise AI Platforms We are seeking a Principal AI Solution Architect with 15+ years of experience in enterprise architecture, cloud platforms, and AI engineering, with strong expertise in Generative AI, Agentic AI, Model Context Protocol (MCP), and Retrieval-Augmented Generation (RAG).
Key Responsibilities
• Design and implement enterprise-grade GenAI platforms, agentic workflows, multi-agent systems, and RAG solutions.
• Define reusable AI architecture patterns, MCP integrations, enterprise tool connectivity, and reference frameworks.
• Drive AI platform strategy, governance, security, Responsible AI, observability, and production readiness.
• Architect cloud-based AI solutions using Microsoft Azure AI Foundry, Azure OpenAI, AWS Bedrock, or equivalent platforms.
• Collaborate with business stakeholders, clients, and engineering teams to translate requirements into scalable AI solutions.
• Lead technical workshops, architecture reviews, proof of concepts, and enterprise AI adoption initiatives.
• Mentor engineering teams and establish standards for CI/CD, GenAIOps, monitoring, and secure deployment. Required
Skills:
• Strong experience in Generative AI, Agentic AI, LLMs, RAG, prompt engineering, and multi-agent orchestration.
• Hands-on knowledge of MCP, Python, AI frameworks such as Lang Graph, AutoGen, or Lang Chain.
• Experience with cloud AI services, vector databases, APIs, enterprise integrations, and data platforms.
• Understanding of AI security, identity and access management, governance, guardrails, and observability.
• Excellent solution architecture, client engagement, stakeholder management, and technical leadership skills.
• Preferred
Experience:
Enterprise banking or financial services, AI Centers of Excellence (CoE), reusable AI accelerators, and large-scale production AI implementations.
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