Solution Engineer - Cloud & AI Infrastructure

Microsoft Microsoft · Big Tech · United States · Solution Engineering

Solution Engineer focused on Azure cloud infrastructure for commercial customers, helping them design, migrate, and modernize architectures to support AI workloads and business-critical applications. This role involves technical sales, architecture design, and collaboration to drive Azure adoption and unlock value through AI-powered infrastructure.

What you'd actually do

  1. Drive technical sales by using technical demos, proofs of concept, and technical architecture accelerators to influence solution design and enable deployments.
  2. Lead architecture sessions and technical workshops to accelerate Azure adoption.
  3. Build trusted relationships with platforms leads to co-design secure, scalable solutions.
  4. Resolve technical blockers by collaborating with engineering and sharing customer insights.
  5. Maintain expertise in cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance.

Skills

Required

  • 3+ years of technical pre-sales or technical consulting experience
  • Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads)
  • Resiliency
  • Security
  • Compliance

Nice to have

  • Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat.
  • Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards.
  • Proven experience in cloud infrastructure, including migration of workloads such as Windows, SQL, Linux, and PostgreSQL
  • Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization in enterprise environments.
  • Hands-on experience with Azure Kubernetes Service (AKS), App Platform, and containerization stra

What the JD emphasized

  • AI workloads
  • AI-powered infrastructure
  • intelligent agents
  • secure, scalable, and resilient cloud architectures
  • migration
  • modernization
  • optimization
  • innovation
  • regulatory requirements
  • compliance frameworks