Solution Engineering & AI Prototyping Specialist

Job Description & Summary The opportunity Accelerate pursuits and advisory engagements through compelling demonstrations, rapid prototypes and hands-on technical validation across Azure, data, AI and automation. What you will be doing Prototyping & demonstrations Rapidly convert priority business use cases into demonstrations, proof-of-concept solutions and technical spikes. Build clear, client-ready experiences that show workflows, data flows, controls and expected user interactions. Prepare demo environments, scripts and supporting materials for workshops, proposals and executive presentations. Capture reusable components, patterns and lessons learned. Technical validation Validate APIs, data access, integration patterns, model behavior, deployment options and non-functional requirements. Estimate prototype effort and identify technical risks, constraints and prerequisites before larger mobilization. Apply secure engineering practices, appropriate data handling and Responsible AI controls in prototype work. Collaborate with the Cloud Architect on architecture decisions and with the Data & AI Manager on use-case intent and evaluation. Advisory support & capability building Contribute practical technical input to assessments, roadmaps, proposals and delivery plans. Coach consultants on Microsoft demonstrations and support internal enablement sessions. Maintain awareness of relevant Microsoft platform developments and assess their applicability to client needs. What we need from you 4+ years in cloud engineering, software development, data engineering, AI engineering or solution engineering. Hands-on experience with Azure services, APIs, identity, DevOps, data pipelines and modern application patterns. Practical capability in Python or another modern language and experience building client-facing prototypes. Strong communication skills and the ability to explain technical behavior to non-technical audiences. Comfort working in ambiguous, time-sensitive pursuit and discovery settings. Preferred qualifications AI-102, AZ-204, DP-600, DP-203 or PL-600 certifications are desirable. Experience with Azure OpenAI, Microsoft Fabric, Power Platform, GitHub or Azure DevOps is advantageous. Professional-services or pre-sales experience is preferred. Measures of success Speed and quality of prototypes and demonstrations Accuracy of technical validation and risk identification Reuse of accelerators and technical assets Contribution to proposals, workshops and qualified opportunities Adherence to security, data-handling and Responsible AI expectations Key interfaces Microsoft Cloud Architect and the other core team members PwC Advisory sector and functional leaders Cybersecurity, risk, privacy, legal, tax, deals, change and delivery specialists Microsoft alliance and partner ecosystem stakeholders Client executives, business owners, technology leaders and delivery teams #LI-BS1 #LI-Hybrid