Solution Engineering & AI Prototyping Specialist
PwC Open · verified Sep 29, 2026 Bucharest Full-time Mid-level Solutions & Sales Engineering
At a glance
Mid-level Solutions & Sales Engineering role at PwC. Bucharest · full-time.
Pay not stated
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationBucharest
EmploymentFull-time
PostedSep 18, 2026 · 11d ago
Role brief
growthroles summary, based on the employer's posting.
What you'll do
- Turn priority business use cases into demos, proof-of-concept solutions and technical spikes
- Prepare client-ready demo environments, scripts and materials for workshops, proposals and executive presentations
- Check APIs, data access, integrations, model behavior, deployment choices and non-functional needs
- Estimate prototype effort, surface technical risks and apply secure data and Responsible AI practices
- Add technical input to proposals and roadmaps while coaching consultants on Microsoft demonstrations
What you bring
- At least four years in cloud, software, data, AI or solutions engineering
- Hands-on Azure work covering services, APIs, identity, DevOps, data pipelines and modern application patterns
- You can build client-facing prototypes with Python or another modern programming language
- You explain technical behavior clearly to non-technical audiences and handle fast-moving, unclear pursuit settings
Who this fits
You'll suit a mid-level technical specialist who can prototype quickly, validate solutions and communicate with both technical and business audiences. The role is based in Bucharest, Romania, and involves work with architects, advisory leaders, specialists, partners and client stakeholders.
From the employer
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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