Posted yesterday
Solutions Architect (Agentic AI)
@ Iris Software Inc.
Toronto, Ontario
Overview
Iris Software Inc. is hiring a Principal AI Solution Architect on contract for its client, a large multinational investment banking and financial services firm, in Toronto (hybrid onsite). The role designs enterprise GenAI platforms, agentic workflows and RAG solutions, and leads architecture governance, mentoring and technical workshops. The posting asks for 15+ years of experience and hybrid onsite work but states no pay or hours.
Responsibilities:
- Design enterprise GenAI, agentic and RAG solutions
- Define AI architecture patterns and MCP integrations
- Drive AI governance, security and production readiness
- Architect solutions on Azure AI Foundry, Azure OpenAI or AWS Bedrock
- Lead workshops, architecture reviews and mentoring
Requirements summary:
- 15+ years in enterprise architecture and AI engineering
- Hands-on GenAI, agentic AI, MCP and RAG experience
- Python and LangGraph, AutoGen or LangChain
- Cloud AI services and vector databases
- AI security, IAM and governance knowledge
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-12
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 15+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Iris Software Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 42 |
Iris's client, one of the world's largest multinational Investment banking and financial services corporations, is looking to hire a Senior AI Solutions Architect (Agentic AI) opportunity.
Work 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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