Design secure Azure AI and cloud solutions, leading architecture engagements, proofs of concept, pilots, and production adoption for customer applications and agents.
About this role
This technical pre-sales role in Solution Engineering helps commercial customers modernize cloud infrastructure, translating their goals into Azure designs and deployment decisions. It leads platform and sovereign-cloud modernization through workshops, live demos, architecture whiteboarding, prototypes, proofs of concept and pilots. Work covers Windows, Linux and application migration; hybrid networking, secure connectivity, resiliency, performance, security and compliance; and SAP, Oracle and VMware environments. Hands-on technologies include GitHub Copilot, agentic tooling, Windows Server, Linux, SQL Server, PostgreSQL, Azure Kubernetes Service, Azure Container Apps and Defender for Cloud. Applicants need cloud-infrastructure and workload-migration experience; experience designing or selling enterprise hybrid-networking, secure-connectivity or network-performance solutions; hands-on experience with the listed tools; and strong Azure knowledge across networking, security, compliance and hybrid scenarios. They must have led technical engagements that drive production-scale outcomes. Experience: 5+ years in technical pre-sales or consulting, or a relevant bachelor's degree plus 4+, a relevant master's plus 3+, or equivalent experience.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Designs and leads AI-agent and low-code solutions for customer business needs using Copilot Studio and Power Platform, guiding architecture, adoption, and scale with technical teams.
Leads technology strategy for complex customer accounts, coordinating global teams, shaping AI and cloud roadmaps, generating opportunities, and guiding digital transformation with Microsoft solutions.
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.
Build and validate a new AI product by exploring customer problems, prototyping and improving solutions, and driving customer acquisition and adoption with engineering, design and business teams.