Sr. Solutions Architect | Architecte de solutions senior, Agentic WorkSpaces Canada

Amazon Inc.; Toronto; On-site; CAD 146,000 - 212,000; Full time

Job summary

Amazon Web Services is seeking a bilingual (English/French) Solutions Architect for the Agentic WorkSpaces team in Toronto, Canada. The role spans 60% platform architecture and 40% applied AI consulting, requiring 300-level technical depth and strong client advisory skills.

The position involves travel across Canada (25%–50%), architecture reviews, production readiness, and hands-on demonstrations for enterprise and public sector customers in both English and French.

Qualifications

• Bilingual English/French required for procurement and client engagements.
• Strong background in enterprise desktop infrastructure and AI deployment patterns.
• Experience leading discovery sessions and architecture reviews for enterprise clients.

Responsibilities

• Lead technical discovery sessions with public sector and enterprise clients.
• Design end-to-end Agentic WorkSpaces architectures (VDI/DaaS) and ensure production readiness.
• Guide AI model deployment, MCP integrations, and RAG patterns for workspace solutions.
• Deliver on-site and remote knowledge transfer to client teams.

Skills

Bilingual English/French

Solutions Architect

Bedrock & LLM

AI consulting

Public sector experience

Tools

Amazon Bedrock

OpenSearch / Kendra / Pinecone

AWS Cloud

Job description

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruitment, development, and growth of our key technology and consulting partners. Together, they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Amazon Web Services is seeking a bilingual (English/French) Solutions Architect to join the Agentic WorkSpaces team in Toronto, Canada. This role requires a professional operating at the intersection of enterprise desktop infrastructure and applied AI—with a primary, clearly defined depth in Agentic WorkSpaces platform architecture (60%), complemented by advisory-level proficiency in applied AI and Large Language Model (LLM) deployment patterns (40%).

The primary mandate is mastery of the Agentic WorkSpaces platform. You will architect, deploy, and optimize Virtual Desktop Infrastructure (VDI) and Desktop-as-a-Service (DaaS) solutions using Amazon WorkSpaces Personal and Core, as well as Amazon WorkSpaces Applications (formerly AppStream 2.0). You will ensure production readiness for enterprise customers, covering network design, identity federation, image management, directory services, protocol optimization, and operational health. This requires "Level 300" depth—you are the definitive technical authority customers rely on to move from assessment to large-scale production.

The secondary mandate is applied AI consulting. You will guide customers through the agentic AI capabilities integrated into Agentic WorkSpaces—including AI agent configuration, foundation model selection via Amazon Bedrock, prompt engineering, tool integration via the Model Context Protocol (MCP), and agent-to-agent (A2A) communication patterns. You will evaluate LLM performance, design agent evaluation frameworks, and advise on deployment models for production AI workloads. This role requires a "200+" level of technical depth—sufficient to lead customer conversations, conduct hands‑on demonstrations, and identify when to engage deeper AI engineering resources.

Canada represents a strategic growth market for Agentic WorkSpaces. Federal, provincial, and regulated‑sector clients (financial services, healthcare, public sector) require native-level French engagement for procurement, compliance documentation, and day‑to‑day technical consulting. This role directly serves Canadian public sector and enterprise clients, leading discovery sessions, architecture reviews, and production readiness assessments in both English and French. Toronto offers geographic proximity to Canada's largest concentration of businesses while providing access to bilingual talent.

Availability to travel up to 25%–50% of the time for on-site customer engagements across Canada.

Ce poste fait partie de l'AWS Specialist and Partner Organization (ASP). Les spécialistes possèdent la stratégie de mise sur le marché de bout en bout pour leurs domaines technologiques respectifs, en fournissant l'expertise commerciale et technique pour aider nos clients à réussir. Les équipes partenaires possèdent la stratégie, le recrutement, le développement et la croissance de nos principaux partenaires technologiques et de conseil. Ensemble, ils offrent à nos clients l'expertise et l'envergure nécessaires pour construire des solutions innovantes face à leurs défis les plus complexes.

Amazon Web Services recherche un architecte de solutions bilingue (anglais/français) pour rejoindre l'équipe Agentic WorkSpaces à Toronto, Canada. Ce rôle exige un professionnel qui opère à l'intersection de l'infrastructure de bureau d'entreprise et de l'intelligence artificielle appliquée — avec une profondeur principale clairement définie en architecture de plateforme Agentic WorkSpaces (60 %), complétée par une proficiency au niveau consultatif en IA appliquée et en modèles de déploiement de grands modèles linguistiques (LLM) (40 %).

Le mandat principal est la maîtrise de la plateforme Agentic WorkSpaces. Vous architecturerez, déploierez et optimiserez des solutions d'infrastructure de bureau (VDI) et de bureau en tant que service (DaaS) en utilisant Amazon WorkSpaces Personal et Core, ainsi qu'Amazon WorkSpaces Applications (anciennement AppStream 2.0). Vous assurerez la préparation à la production pour les clients d'entreprise : conception réseau, fédération d'identité, gestion d'images, services d'annuaire, optimisation des protocoles et santé opérationnelle. Il s'agit d'une profondeur de niveau 300 — vous êtes l'autorité technique définitive sur laquelle les clients comptent pour passer de l'évaluation à la production à grande échelle.

Le mandat secondaire est le conseil en IA appliquée. Vous guiderez les clients à travers les capacités d'IA agentique intégrées à Agentic WorkSpaces — notamment la configuration d'agents IA, la sélection de modèles via Amazon Bedrock, l'ingénierie des invites, l'intégration d'outils via le Model Context Protocol (MCP), et les modèles de communication agent à agent (A2A). Vous évaluerez la performance des LLM, concevrez des cadres d'évaluation d'agents et conseillerez sur les modèles de déploiement pour les charges de travail d'IA en production. Il s'agit d'une profondeur de niveau 200+ — suffisante pour diriger les conversations avec les clients, mener des démonstrations pratiques et identifier quand engager des ressources d'ingénierie IA plus approfondies.

Le Canada représente un marché de croissance stratégique pour Agentic WorkSpaces. Les clients fédéraux, provinciaux et des secteurs réglementés (services financiers, santé, secteur public) requièrent un engagement en français natif pour l'approvisionnement, la documentation de conformité et le conseil technique quotidien. Ce rôle sert directement les clients du secteur public et des entreprises canadiennes — menantdes découvertes, des examens d'architecture et des évaluations de préparation à la production en anglais et en français. Toronto offre une proximité géographique avec la plus grande concentration d'entreprises au Canada tout en offrant l'accès à des talents bilingues.

Disponibilité à voyager jusqu'à 25 % - 50 % pour les engagements clients sur site partout au Canada.

Key job responsibilities

• Lead technical discovery sessions with public sector and enterprise clients to assess existing IT infrastructure, identify migration paths, and define production deployment architectures for Amazon WorkSpaces (Personal, Core Managed Instances, Core Bundles) and Amazon WorkSpaces Applications.
• Design end‑to‑end Agentic WorkSpaces architectures covering VPC/network topology, Active Directory federation or AWS Managed Microsoft AD, multi‑region resilience, image lifecycle management, and protocol optimization for latency‑sensitive workloads.
• Lead Technical Validation (TechVal) engagements—defining success criteria, executing structured test plans, validating performance under production‑like conditions, and producing outcome reports with clear go/no‑go recommendations.
• Design migrations from existing VDI platforms (Citrix Apps and Desktops, VMware/Omnissa Horizon) to Agentic WorkSpaces, including application compatibility assessment, user profile migration, and validation of print and peripheral redirection.
• Ensure production readiness: capacity planning, monitoring and alerting configuration (CloudWatch, WorkSpaces health APIs), patch management cadence, cost optimization (Reserved Instances, auto‑stop policies), and development of operational runbooks.
• Build deep relationships with senior technical stakeholders within client organizations—positioning yourself as the trusted advisor they consult before making infrastructure decisions.
• Deliver in‑person and remote knowledge transfer sessions (workshops, immersion days, bootcamps) to transfer Agentic WorkSpaces operational knowledge to client teams.

Agentic WorkSpaces Expertise (60%)

• Lead technical discovery sessions with public sector and enterprise clients to assess existing IT infrastructure, identify migration paths, and define production deployment architectures for Amazon WorkSpaces (Personal, Core Managed Instances, Core Bundles) and Amazon WorkSpaces Applications.
• Design end‑to‑end Agentic WorkSpaces architectures covering VPC/network topology, Active Directory federation or AWS Managed Microsoft AD, multi‑region resilience, image lifecycle management, and protocol optimization for latency‑sensitive workloads.
• Lead Technical Validation (TechVal) engagements—defining success criteria, executing structured test plans, validating performance under production‑like conditions, and producing outcome reports with clear go/no‑go recommendations.
• Design migrations from existing VDI platforms (Citrix Apps and Desktops, VMware/Omnissa Horizon) to Agentic WorkSpaces, including application compatibility assessment, user profile migration, and validation of print and peripheral redirection.
• Ensure production readiness: capacity planning, monitoring and alerting configuration (CloudWatch, WorkSpaces health APIs), patch management cadence, cost optimization (Reserved Instances, auto‑stop policies), and development of operational runbooks.
• Build deep relationships with senior technical stakeholders within client organizations—positioning yourself as the trusted advisor they consult before making infrastructure decisions.
• Deliver in‑person and remote knowledge transfer sessions (workshops, immersion days, bootcamps) to transfer Agentic WorkSpaces operational knowledge to client teams.

Agentic AI Consulting (40%)

• Guide clients through the capabilities of agentic AI within Agentic WorkSpaces—including AI agent creation, model selection via Amazon Bedrock, prompt configuration, guardrail setup, and tool/action integration.
• Evaluate foundation model performance for workspace‑specific use cases, balancing latency, accuracy, cost, and compliance requirements.
• Advise on model selection trade‑offs between Anthropic Claude, Amazon Titan, and third‑party models available via Bedrock.
• Design and deploy Model Context Protocol (MCP) server configurations that expose client tools, APIs, and data sources in a standardized format for dynamic discovery and agent tool invocation.
• Design Agent‑to‑Agent (A2A) communication models enabling multi‑agent orchestration across enterprise systems (IT service management, identity operations, document processing, security automation).
• Create and advise on agent evaluation frameworks—defining metrics (task completion rate, hallucination rate, P95 latency, cost per invocation), establishing baselines, and executing structured evaluations against production workloads.
• Conduct data readiness assessments: evaluate client data landscapes (CRM, knowledge bases, ticketing systems, identity stores), identify gaps, and recommend remediation strategies to ensure AI agents have reliable access to information.
• Advise on LLM deployment patterns, including Retrieval‑Augmented Generation (RAG), fine‑tuning decision frameworks, knowledge base configuration, vector database selection, and chunking/embedding strategies.

Cross-functional and Go‑to‑Market

• Create reusable artifacts—reference architectures, implementation guides, sample configurations, prompt libraries, and data readiness checklists that scale best practices across the SA community and the partner ecosystem.
• Provide structured product feedback to the Agentic WorkSpaces and Amazon Bedrock service teams based on real‑world customer implementations, directly contributing to roadmap prioritization.
• Act as a technical liaison between customers, partners, service engineering teams, and support—ensuring the voice of the customer reaches product leadership with accuracy and urgency.
• Author or contribute to publications for AWS customers—such as white papers, blog posts, technical guides, and case studies that demonstrate Canadian customers' success with Agentic WorkSpaces.

Preferred Qualifications

• AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
• Hands‑on experience with Amazon Bedrock — model invocation, knowledge base configuration, guardrails, and agent creation.
• Familiarity with Model Context Protocol (MCP) for standardized tool integration and/or Agent‑to‑Agent (A2A) communication patterns for multi‑agent orchestration.
• Experience designing agent evaluation harnesses: defining success metrics, building automated test suites, and conducting structured evaluations of LLM‑powered systems against production workloads.
• Experience designing and architecting workload migrations from on‑premises VDI to AWS (lift‑and‑shift and re‑architecture patterns).
• Experience with regulated industries in Canada: federal government (GC Cloud framework), financial services (OSFI), healthcare (provincial health authorities), or telecommunications.
• Hands‑on experience with retrieval‑augmented generation (RAG), vector databases (OpenSearch, Kendra, Pinecone), and knowledge base configuration for production AI systems.
• Experience working with end‑user computing or developer communities — delivering workshops, authoring technical content, or contributing to open‑source projects.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Amazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Notre culture inclusive permet aux Amazoniens d'offrir les meilleurs résultats à nos clients. Si vous avez un handicap et que vous avez besoin de mesures d'adaptation ou d'adaptation en milieu de travail pendant le processus de candidature et d'embauche, y compris du soutien pour l'entrevue ou le processus d'intégration, veuillez visiter https://amazon.jobs/content/en/how-we-hire/accommodations pour plus d'informations. Si le pays ou la région dans lequel vous postulez ne figure pas dans la liste, veuillez communiquer avec votre partenaire de recrutement.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

L'échelle salariale de base pour ce poste est indiquée ci-dessous. En tantqu'entreprise offrant une rémunération globale, Amazon peut inclure d'autres éléments dans son offre, tels que des primes à la signature et des unités d'actions restreintes (UAR). La rémunération finale sera déterminée en fonction de facteurs tels que l'expérience, les qualifications et le lieu de travail. Amazon offre des avantages sociaux complets, notamment une assurance maladie (soins médicaux, dentaires, vision, ordonnance, assurance‑vie de base et assurance DMA), un régime enregistré d'épargne-retraite (REER), un régime de participation différée aux bénéfices (RPDB), des congés payés et d'autres ressources visant à améliorer la santé et le bien‑être. Nous remercions tous les candidats de leur intérêt, mais seuls ceux retenus pour un entretien seront informés du résultat du processus de recrutement.

CAN, ON, Toronto - 146,000.00 - 211,600.00 CAD annually

CAN, QC, Montreal - 146,000.00 - 211,600.00 CAD annually