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
