Job Description La passion des startups vous anime ? Vous aimez aider les fondateurs à résoudre des problèmes techniques complexes dès les premières étapes cruciales de la création de leur entreprise ? Nous sommes à la recherche d'un architecte de solutions désireux de s'impliquer à fond dans l'écosystème des startups canadiennes. Joignez‑vous à nous ! Are you passionate about startups? Do you get excited about helping founders solve hard technical problems at the earliest and most critical stages of building their company? We're looking for a Solutions Architect who wants to be deeply embedded in Canada's startup ecosystem. Come join us! During early‑stage startups are unique customers. Founders move fast, have limited resources, and the technical decisions they make today can either unlock their growth or become a bottleneck six months later. Many come straight out of top accelerators like Y Combinator or have just raised capital from prominent VCs, and they need a trusted technical advisor in their corner. In this role you will work directly with founders of early‑stage startups across a wide range of industries including AI/ML, FinTech, ClimateTech, healthcare, consumer, B2B SaaS, and more. You will help them make smart, pragmatic architectural decisions that set them up to move fast without breaking things later. You will have the chance to build real, lasting relationships with these founders and establish yourself as one of the first trusted technical voices in their journey. You won't be handing founders a generic playbook. Each week you may be helping a first‑time founder think through their architecture before they've written a single line of code, helping a seed‑stage company figure out how to scale after an unexpected viral launch, or working through a compliance challenge with a FinTech startup that needs to move quickly but can't afford to cut corners. Beyond your direct work with founders, you'll also get time to keep your technical skills sharp. You'll act as a voice for the startups you work with, making sure the right products and features are being built to meet their needs. You will also have plenty of opportunities to share your knowledge more broadly by writing technical content and presenting at startup and developer events across Canada's ecosystem. Key Responsibilities Collaborer étroitement avec les fondateurs de jeunes entreprises pour concevoir et répéter des architectures adaptées à leur situation actuelle et évolutives. Aider les startups à s'orienter dans l'écosystème en constante évolution de l'IA générale, du choix des modèles de base et des services d'IA appropriés à la création de produits et services d'IA prêts pour la production. Guider les fondateurs face aux défis concrets du développement d'applications d'IA générale, notamment la gestion des coûts, de la latence, de la précision, de la sécurité et des meilleures pratiques en matière d'IA. Accompagner les entreprises en démarrage dans la mise en place des infrastructures de données nécessaires à leurs produits d'IA : bases de données vectorielles, pipelines de données, génération augmentée par la récupération (RAG) et optimisation des flux de travail. Développer et approfondir des relations au sein de l'écosystème des startups canadiennes, notamment avec des accélérateurs de premier plan comme Y Combinator, des incubateurs et des sociétés de capital-risque de renom. Représenter les fondateurs et transmettre leurs commentaires et besoins directement aux équipes produit et ingénierie afin de contribuer à façonner les outils et services développés pour eux. Créer du contenu technique adapté aux jeunes entreprises, comme des billets de blogue, des architectures de référence et des exemples de code, pour aider les fondateurs à accélérer leur développement et à gagner du temps. Partager votre expertise lors d'événements pour startups, de journées de démonstration et de rencontres de développeurs au Canada afin de renforcer la confiance et la visibilité au sein de la communauté. Work hands‑on with early‑stage founders to design and iterate on architectures that are practical for where they are today but built to scale as they grow. Help startups navigate the fast‑moving GenAI landscape, from selecting the right foundation models and AI services to building production‑ready AI‑powered products and services. Guide founders through the real challenges of building GenAI applications, including managing model costs, latency, accuracy, safety, and AI best practices. Support startups in building the right data foundations to power their AI products, whether that's vector databases, data pipelines, retrieval‑augmented generation (RAG), or fine‑tuning workflows. Build and deepen relationships within Canada's startup ecosystem, including top accelerators like Y Combinator, incubators, and leading VC firms. Be a voice for your founders, connecting their feedback and needs directly to product and engineering teams to help shape the tools and services being built for them. Create technical content tailored to early‑stage startups, such as blog posts, reference architectures, and sample code, that helps founders move faster and spend less time reinventing the wheel. Share your expertise at startup events, demo days, and developer meetups across the Canada ecosystem to build trust and visibility in the community. Basic Qualifications 2+ years of design, implementation, or consulting in applications and infrastructures experience. 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience. Plus de 2 ans d'expérience en conception, mise en œuvre ou conseil en applications et infrastructures. Plus de 4 ans d'expérience dans des domaines technologiques spécifiques (par exemple : développement logiciel, infonuagique, ingénierie des systèmes, infrastructure, sécurité, réseaux, données et analytique). Preferred Qualifications Experience working within software development or Internet-related industries. Experience migrating or transforming legacy customer solutions to the cloud. Experience working with AWS technologies from a dev/ops perspective. Experience working with end‑user or developer communities. Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon offers a comprehensive benefits package, including medical, dental, vision, prescription, life insurance, a registered retirement savings plan, a deferred profit‑sharing plan, and paid time off. Canadians: salary range 115,100.00 - 166,900.00 CAD annually. Location: QC, Montreal. Company: Amazon Web Services Canada, Inc. Job ID: A #J-18808-Ljbffr