Solution Engineer - Cloud & AI Applications

Role overview

Responsibilities

• Drive technical sales with decision makers using demonstrations and proofs of concept to influence solution design and production deployments.
• Lead hands-on engagements, including hackathons and architecture workshops, to accelerate cloud adoption.
• Co-design secure, scalable architectures with customer platform leads and resolve technical blockers with engineering teams.
• Maintain expertise in AI Foundry, AKS, App Service Environment, Azure Container Apps, API Management, Azure Managed Redis, Cosmos DB, PostgreSQL, and SQL DB.
• Represent Microsoft through thought leadership in application-development communities and customer forums.

Required qualifications

• Master's degree in Computer Science, Information Technology, or related field and 4+ years of technical presales or consulting experience; or bachelor's degree in a related field and 6+ years; or 7+ years of relevant experience; equivalent experience is accepted.

Preferred qualifications

• 8+ years of technical presales, technical consulting, technology delivery, or related experience.
• Experience with cloud and hybrid or on-premises infrastructure, architecture design, migrations, industry standards, or technology management.
• Relevant certifications, legacy application modernization experience, or experience with generative AI or Agentic AI solutions such as LangChain, AutoGen, or Semantic Kernel.

Compensation

• Typical base pay range across Canada is CAD $128,000–$222,400 per year.

Work flexibility

• The description mentions flexible work opportunities but does not specify a remote, hybrid, or onsite arrangement.