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Iris Software Inc.

AI Solutions Architect (Agentic AI)

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Dec 13, 2026
Posted: Nov 13, 2026

Original job description

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.

If Interested Please share your updated resume at sandeep.goel@irissoftware.com

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.

Best Regards,

Sandeep Goyal

Address: 200 Metroplex Dr. Edison, NJ 08817

Cell: 732.426.8546

Email: sandeep.goel@irissoftware.com | www.irissoftware.com

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More about this job

Responsibilities

Design enterprise-grade generative and agentic AI platforms, workflows, multi-agent systems, and RAG solutions, while defining reusable architecture patterns and integrations. Lead AI platform strategy, governance, security, production readiness, stakeholder engagement, technical workshops, and engineering standards.

Requirements

Requires 15+ years of experience in enterprise architecture, cloud platforms, and AI engineering, with strong expertise in generative AI, agentic AI, LLMs, RAG, and multi-agent orchestration. Candidates should have hands-on knowledge of MCP, Python, AI frameworks, cloud AI services, vector databases, enterprise integrations, and AI security, along with strong architecture and technical leadership skills.

Skills

Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Multi-Agent Orchestration
Model Context Protocol
Python
LangGraph
AutoGen
LangChain
Cloud AI Services
Vector Databases
AI Security
AI Governance
Solution Architecture

Visa sponsorship

Not detected in the job text

Hiring contact

Sandeep Goyal

Hiring contact email

sandeep.goel@irissoftware.com

Keywords

Generative AI
Agentic AI
Enterprise AI Platforms
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Multi-Agent Systems
Model Context Protocol
Python
LangGraph
AutoGen
LangChain
Microsoft Azure AI Foundry
Azure OpenAI
AWS Bedrock
Vector Databases
Enterprise Architecture
Cloud Platforms
AI Governance
Responsible AI
AI Security
Identity and Access Management
Guardrails
Observability
GenAIOps
CI/CD
Enterprise Integrations
Financial Services
AI Centers of Excellence
Production AI Implementations

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