: Solution Architect*

Toronto, ON

Hybrid (2 days per week in-person at Toronto office preferred)

Required Skills: Digital : Client Azure~Data Analytics &

- Insights : ignio AIOps~AI &
- Gen AI - Products &
- Tools

Years Experience: 6-8

Primary SkillSet: AWS, Azure, Client Fabric &

- GenAI Modernization

Role Descriptions

Role Overview

We are seeking an experienced Solution Architect to lead enterprise-scale cloud, data, and application modernization initiatives. The ideal candidate will possess deep expertise in AWS, Client Azure, Client Fabric, and Generative AI technologies, with a proven track record of designing scalable, secure, and business-aligned solutions.

The candidate will collaborate with business stakeholders, enterprise architects, engineering teams, and executive leadership to define transformation roadmaps, architect next-generation solutions, and drive successful delivery of cloud-native and AI-enabled platforms.

Key Responsibilities

Solution Architecture &

- Strategy

Define end-to-end architecture for cloud, data, analytics, and AI transformation programs.

Develop target-state architectures, modernization roadmaps, and migration strategies.

Lead architecture reviews, technology evaluations, and solution governance.

Ensure alignment with enterprise standards, security, compliance, and regulatory requirements.

Cloud Modernization

Architect and implement enterprise solutions on AWS and Client Azure.

Design cloud-native applications leveraging microservices, containers, serverless, and event-driven architectures.

Lead application, infrastructure, and data migration programs from on-premise platforms to cloud environments.

Optimize cloud performance, scalability, resilience, security, and cost.

Client Fabric &

- Data Architecture





Architect modern data platforms using Client Fabric.

Design Lakehouse, Data Warehouse, Real-Time Analytics, Data Engineering, and Power BI solutions.

Implement enterprise data governance, metadata management, security, and data quality frameworks.

Enable self-service analytics and AI-driven insights across business functions.

GenAI &

- AI-Led Modernization

Design GenAI-enabled solutions utilizing Azure OpenAI, Amazon Bedrock, Copilot, and LLM-based frameworks.

Drive legacy application modernization using AI-assisted code transformation and reverse engineering approaches.

Implement Retrieval-Augmented Generation (RAG), vector databases, knowledge fabric, and agentic AI architectures.

Identify and deliver AI use cases that improve developer productivity, business efficiency, and customer experience.

Stakeholder &

- Client Management

Engage with C-level executives, business sponsors, and technology leadership.

Translate business requirements into scalable technical solutions.

Conduct workshops, architecture reviews, solution presentations, and executive briefings.

Provide thought leadership on cloud, data, and AI transformation initiatives.

Delivery Leadership

Guide cross-functional engineering teams through architecture implementation.

Mentor architects, developers, and technical leads.

Support proposal development, RFP responses, estimation, and solution governance.





Ensure successful execution from solution conception through deployment and operationalization.

Required Technical Skills

Cloud Platforms

AWS (EC2, EKS, ECS, Lambda, API Gateway, Redshift, S3, Glue, Aurora, IAM)

Client Azure (AKS, Azure OpenAI, Synapse, Data Factory, Event Hub, Functions, Cosmos DB)

Data &

- Analytics

Client Fabric

Power BI

Databricks

Azure Synapse Analytics

Data Lake, Lakehouse Architecture

ETL/ELT and Data Integration

Architecture &

- Engineering

Microservices Architecture

API and Integration Architecture

Kubernetes &

- Containers

DevOps &

- CI/CD

Infrastructure as Code (Terraform, CloudFormation, Bicep)

Security Architecture &

- Governance

AI &

- GenAI

Azure OpenAI

Amazon Bedrock

LLMs and Prompt Engineering

RAG Architectures

AI Agents / Agentic Frameworks

Vector Databases

Copilot Ecosystem

AI Governance &

- Responsible AI

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.

Master's degree preferred.

AWS and/or Azure certifications preferred:

AWS Solutions Architect Professional

Azure Solutions Architect Expert

Client Fabric Analytics Engineer

Essential Soft Skills

Excellent verbal and written communication skills.

Strong customer-facing consulting experience.

Executive-level presentation and stakeholder management capabilities.

Solid analytical and problem-solving skills.

Ability to lead global, cross-functional teams.

Experience working in large enterprise and BFSI environments.

Preferred Industry Experience

Banking &

- Financial Services

Insurance

Capital Markets

Enterprise Digital Transformation

Cloud &

- Data Modernization Programs

AI/GenAI Adoption Initiatives

Comments for Suppliers

📌 Information Technology_CAN - CAN_Solution Architect (Toronto)
🏢 Artech
📍 Toronto