Verified by our engine · Posted 1mo ago
Solution Engineering & AI Prototyping Specialist
PwC · Integration and Platform Architecture
Bucharest
- Posted
- 1mo ago
- Workplace
- Hybrid
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 18 September 2026
Work model: Hybrid
Salary range not shared by the company
Visa sponsorship details unknown
Listing history No signals observed
Sign in to report an errorJob 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
About PwC
PwC is one of the Big Four, and its board here is the global Experienced Careers listing rather than a European one: most of what it carries is Cairo, Kuala Lumpur, Kolkata, Toronto and Manila, with Milan, Warsaw, Barcelona and London among the European entries. The technology work sits in the consulting and internal-technology arms rather than in a product org, so filter by role before judging the count.
