About this role
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
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